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2020 – today
- 2025
[j141]Zahra Zamanzadeh Darban
, Geoffrey I. Webb, Shirui Pan, Charu C. Aggarwal, Mahsa Salehi:
CARLA: Self-supervised contrastive representation learning for time series anomaly detection. Pattern Recognit. 157: 110874 (2025)- 2024
- [j140]Shirui Pan, Yizhen Zheng, Yixin Liu:
Integrating Graphs With Large Language Models: Methods and Prospects. IEEE Intell. Syst. 39(1): 64-68 (2024) - [j139]Yu Zheng, Huan Yee Koh, Ming Jin, Lianhua Chi, Haishuai Wang, Khoa Tran Phan, Yi-Ping Phoebe Chen, Shirui Pan, Wei Xiang:
Graph spatiotemporal process for multivariate time series anomaly detection with missing values. Inf. Fusion 106: 102255 (2024) - [j138]Chunquan Liang, Yi Tian, Dongmin Zhao, Mei Li, Shirui Pan, Hongming Zhang, Jicheng Wei:
Bootstrap Latent Prototypes for graph positive-unlabeled learning. Inf. Fusion 112: 102553 (2024) - [j137]Yang Tao, Kai Guo, Yizhen Zheng, Shirui Pan, Xiaofeng Cao, Yi Chang:
Breaking the curse of dimensional collapse in graph contrastive learning: A whitening perspective. Inf. Sci. 657: 119952 (2024) - [j136]Peng Bao, Rong Yan, Shirui Pan:
Co-augmentation of structure and feature for boosting graph contrastive learning. Inf. Sci. 676: 120792 (2024) - [j135]Shiyuan Li, Qingfeng Chen, Zhixian Liu, Shirui Pan, Shichao Zhang:
Bi-SGTAR: A simple yet efficient model for circRNA-disease association prediction based on known association pair only. Knowl. Based Syst. 291: 111622 (2024) - [j134]Soheila Molaei, Ghazaleh Niknam, Ghadeer O. Ghosheh, Vinod Kumar Chauhan, Hadi Zare, Tingting Zhu, Shirui Pan, David A. Clifton:
Temporal dynamics unleashed: Elevating variational graph attention. Knowl. Based Syst. 299: 112110 (2024) - [j133]Shaoxiong Ji, Yue Tan, Teemu Saravirta, Zhiqin Yang, Yixin Liu, Lauri Vasankari, Shirui Pan, Guodong Long, Anwar Walid:
Emerging trends in federated learning: from model fusion to federated X learning. Int. J. Mach. Learn. Cybern. 15(9): 3769-3790 (2024) - [j132]Huan Yee Koh, Anh T. N. Nguyen, Shirui Pan, Lauren T. May, Geoffrey I. Webb:
Physicochemical graph neural network for learning protein-ligand interaction fingerprints from sequence data. Nat. Mac. Intell. 6(6): 673-687 (2024) - [j131]Zihui Wang, Peizhen Yang, Xiaoliang Fan, Xu Yan, Zonghan Wu, Shirui Pan, Longbiao Chen, Yu Zang, Cheng Wang, Rongshan Yu:
ConTIG: Continuous representation learning on temporal interaction graphs. Neural Networks 172: 106151 (2024) - [j130]Xin Mei, Libin Yang, Zuowei Jiang, Xiaoyan Cai, Dehong Gao, Junwei Han, Shirui Pan:
An Inductive Reasoning Model based on Interpretable Logical Rules over temporal knowledge graph. Neural Networks 174: 106219 (2024) - [j129]Guangsi Shi, Daokun Zhang, Ming Jin, Shirui Pan, Philip S. Yu:
Towards complex dynamic physics system simulation with graph neural ordinary equations. Neural Networks 176: 106341 (2024) - [j128]Kexin Zhang, Qingsong Wen, Chaoli Zhang, Rongyao Cai, Ming Jin, Yong Liu, James Y. Zhang, Yuxuan Liang, Guansong Pang, Dongjin Song, Shirui Pan:
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects. IEEE Trans. Pattern Anal. Mach. Intell. 46(10): 6775-6794 (2024) - [j127]Ming Jin, Huan Yee Koh, Qingsong Wen, Daniele Zambon, Cesare Alippi, Geoffrey I. Webb, Irwin King, Shirui Pan:
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 10466-10485 (2024) - [j126]He Zhang, Bang Wu, Xingliang Yuan, Shirui Pan, Hanghang Tong, Jian Pei:
Trustworthy Graph Neural Networks: Aspects, Methods, and Trends. Proc. IEEE 112(2): 97-139 (2024) - [j125]Weixin Bu, Xiaofeng Cao, Yizhen Zheng, Shirui Pan:
Improving Augmentation Consistency for Graph Contrastive Learning. Pattern Recognit. 148: 110182 (2024) - [j124]Jiapu Wang, Boyue Wang, Junbin Gao, Shirui Pan, Tengfei Liu, Baocai Yin, Wen Gao:
MADE: Multicurvature Adaptive Embedding for Temporal Knowledge Graph Completion. IEEE Trans. Cybern. 54(10): 5818-5831 (2024) - [j123]Changqin Huang, Yi Wang, Yunliang Jiang, Ming Li, Xiaodi Huang, Shijin Wang, Shirui Pan, Chuan Zhou:
Flow2GNN: Flexible Two-Way Flow Message Passing for Enhancing GNNs Beyond Homophily. IEEE Trans. Cybern. 54(11): 6607-6618 (2024) - [j122]Cong Wang, Zhijie He, Runchang Jia, Shirui Pan, Lachlan J. M. Coin, Jiangning Song, Fuyi Li:
PLANNER: A Multi-Scale Deep Language Model for the Origins of Replication Site Prediction. IEEE J. Biomed. Health Informatics 28(4): 2445-2454 (2024) - [j121]Zixu Ran, Cong Wang, Heyun Sun, Shirui Pan, Fuyi Li:
Characterizing Secretion System Effector Proteins With Structure-Aware Graph Neural Networks and Pre-Trained Language Models. IEEE J. Biomed. Health Informatics 28(9): 5649-5657 (2024) - [j120]Chaojie Li, Borui Zhang, Zeyu Wang, Yin Yang, Xiaojun Zhou, Shirui Pan, Xinghuo Yu:
Interpretable Traffic Accident Prediction: Attention Spatial-Temporal Multi-Graph Traffic Stream Learning Approach. IEEE Trans. Intell. Transp. Syst. 25(11): 15574-15586 (2024) - [j119]Chuanpan Zheng, Xiaoliang Fan, Shirui Pan, Haibing Jin, Zhaopeng Peng, Zonghan Wu, Cheng Wang, Philip S. Yu:
Spatio-Temporal Joint Graph Convolutional Networks for Traffic Forecasting. IEEE Trans. Knowl. Data Eng. 36(1): 372-385 (2024) - [j118]Xixun Lin, Chuan Zhou, Jia Wu, Lixin Zou, Shirui Pan, Yanan Cao, Bin Wang, Shuaiqiang Wang, Dawei Yin:
Towards Flexible and Adaptive Neural Process for Cold-Start Recommendation. IEEE Trans. Knowl. Data Eng. 36(4): 1815-1828 (2024) - [j117]Shirui Pan, Linhao Luo, Yufei Wang, Chen Chen, Jiapu Wang, Xindong Wu:
Unifying Large Language Models and Knowledge Graphs: A Roadmap. IEEE Trans. Knowl. Data Eng. 36(7): 3580-3599 (2024) - [j116]Haibo Wang, Chuan Zhou, Xin Chen, Jia Wu, Shirui Pan, Zhao Li, Jilong Wang, Philip S. Yu:
Graph Structure Reshaping Against Adversarial Attacks on Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 36(11): 6344-6357 (2024) - [j115]Zonghan Wu, Da Zheng, Shirui Pan, Quan Gan, Guodong Long, George Karypis:
TraverseNet: Unifying Space and Time in Message Passing for Traffic Forecasting. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2003-2013 (2024) - [j114]Ming Li, Alessio Micheli, Yu Guang Wang, Shirui Pan, Pietro Lió, Giorgio Stefano Gnecco, Marcello Sanguineti:
Guest Editorial: Deep Neural Networks for Graphs: Theory, Models, Algorithms, and Applications. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4367-4372 (2024) - [j113]Yizhen Zheng, Ming Jin, Shirui Pan, Yuan-Fang Li, Hao Peng, Ming Li, Zhao Li:
Toward Graph Self-Supervised Learning With Contrastive Adjusted Zooming. IEEE Trans. Neural Networks Learn. Syst. 35(7): 8882-8896 (2024) - [j112]Yu Zheng, Huan Yee Koh, Ming Jin, Lianhua Chi, Khoa Tran Phan, Shirui Pan, Yi-Ping Phoebe Chen, Wei Xiang:
Correlation-Aware Spatial-Temporal Graph Learning for Multivariate Time-Series Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. 35(9): 11802-11816 (2024) - [j111]Sheng Wan, Yibing Zhan, Shuo Chen, Shirui Pan, Jian Yang, Dacheng Tao, Chen Gong:
Boosting Graph Contrastive Learning via Adaptive Sampling. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15971-15983 (2024) - [j110]Xuelian Ni, Fei Xiong, Shirui Pan, Jia Wu, Liang Wang, Hongshu Chen:
Community Preserving Social Recommendation with Cyclic Transfer Learning. ACM Trans. Inf. Syst. 42(3): 67:1-67:36 (2024) - [j109]Luzhi Wang, Yizhen Zheng, Di Jin, Fuyi Li, Yongliang Qiao, Shirui Pan:
Contrastive Graph Similarity Networks. ACM Trans. Web 18(2): 17:1-17:20 (2024) - [j108]Zhengyun Zhou, Guojia Wan, Shirui Pan, Jia Wu, Wenbin Hu, Bo Du:
Complex query answering over knowledge graphs foundation model using region embeddings on a lie group. World Wide Web (WWW) 27(3): 23 (2024) - [j107]Fengzhao Shi, Yanan Cao, Ren Li, Xixun Lin, Yanmin Shang, Chuan Zhou, Jia Wu, Shirui Pan:
VR-GNN: variational relation vector graph neural network for modeling homophily and heterophily. World Wide Web (WWW) 27(3): 32 (2024) - [c162]Bahram Mohammadi, Yicong Hong, Yuankai Qi, Qi Wu, Shirui Pan, Javen Qinfeng Shi:
Augmented Commonsense Knowledge for Remote Object Grounding. AAAI 2024: 4269-4277 - [c161]Bo Xiong, Mojtaba Nayyeri, Linhao Luo, Zihao Wang, Shirui Pan, Steffen Staab:
NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning. AAAI 2024: 9205-9213 - [c160]Qin Zhang, Xiaowei Li, Jiexin Lu, Liping Qiu, Shirui Pan, Xiaojun Chen, Junyang Chen:
ROG_PL: Robust Open-Set Graph Learning via Region-Based Prototype Learning. AAAI 2024: 9350-9358 - [c159]Luzhi Wang, Dongxiao He, He Zhang, Yixin Liu, Wenjie Wang, Shirui Pan, Di Jin, Tat-Seng Chua:
GOODAT: Towards Test-Time Graph Out-of-Distribution Detection. AAAI 2024: 15537-15545 - [c158]Di Mi, Yanjun Zhang, Leo Yu Zhang, Shengshan Hu, Qi Zhong, Haizhuan Yuan, Shirui Pan:
Towards Model Extraction Attacks in GAN-Based Image Translation via Domain Shift Mitigation. AAAI 2024: 19902-19910 - [c157]Shiyuan Li, Yixin Liu, Qingfeng Chen, Geoffrey I. Webb, Shirui Pan:
Noise-Resilient Unsupervised Graph Representation Learning via Multi-Hop Feature Quality Estimation. CIKM 2024: 1255-1265 - [c156]Wenqing Deng, Zhe Wang, Kewen Wang, Shirui Pan, Xiaowang Zhang, Zhiyong Feng:
Differentiating Choices via Commonality for Multiple-Choice Question Answering. ECAI 2024: 3899-3906 - [c155]He Zhang, Xingliang Yuan, Shirui Pan:
Unraveling Privacy Risks of Individual Fairness in Graph Neural Networks. ICDE 2024: 1712-1725 - [c154]Ming Jin, Shiyu Wang, Lintao Ma, Zhixuan Chu, James Y. Zhang, Xiaoming Shi, Pin-Yu Chen, Yuxuan Liang, Yuan-Fang Li, Shirui Pan, Qingsong Wen:
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models. ICLR 2024 - [c153]Linhao Luo, Yuan-Fang Li, Gholamreza Haffari, Shirui Pan:
Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning. ICLR 2024 - [c152]Xin Zheng, Dongjin Song, Qingsong Wen, Bo Du, Shirui Pan:
Online GNN Evaluation Under Test-time Graph Distribution Shifts. ICLR 2024 - [c151]Ming Jin, Yifan Zhang, Wei Chen, Kexin Zhang, Yuxuan Liang, Bin Yang, Jindong Wang, Shirui Pan, Qingsong Wen:
Position: What Can Large Language Models Tell Us about Time Series Analysis. ICML 2024 - [c150]Langzhang Liang, Sunwoo Kim, Kijung Shin, Zenglin Xu, Shirui Pan, Yuan Qi:
Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs. ICML 2024 - [c149]Xixun Lin, Wenxiao Zhang, Fengzhao Shi, Chuan Zhou, Lixin Zou, Xiangyu Zhao, Dawei Yin, Shirui Pan, Yanan Cao:
Graph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification. ICML 2024 - [c148]Guibin Zhang, Yanwei Yue, Kun Wang, Junfeng Fang, Yongduo Sui, Kai Wang, Yuxuan Liang, Dawei Cheng, Shirui Pan, Tianlong Chen:
Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness. ICML 2024 - [c147]Chuang Liu, Zelin Yao, Yibing Zhan, Xueqi Ma, Shirui Pan, Wenbin Hu:
Gradformer: Graph Transformer with Exponential Decay. IJCAI 2024: 2171-2179 - [c146]Xiaobo Shen, Lei Shi, Xiuwen Gong, Shirui Pan:
Unsupervised Deep Graph Structure and Embedding Learning. IJCAI 2024: 2342-2350 - [c145]Fei Xiong, Haoran Sun, Gui Xun Luo, Shirui Pan, Meikang Qiu, Liang Wang:
Graph Attention Network with High-Order Neighbor Information Propagation for Social Recommendation. IJCAI 2024: 2478-2486 - [c144]Zhaopeng Peng, Xiaoliang Fan, Yufan Chen, Zheng Wang, Shirui Pan, Chenglu Wen, Ruisheng Zhang, Cheng Wang:
FedPFT: Federated Proxy Fine-Tuning of Foundation Models. IJCAI 2024: 4806-4814 - [c143]Qin Zhang, Jiexin Lu, Xiaowei Li, Huisi Wu, Shirui Pan, Junyang Chen:
CONC: Complex-noise-resistant Open-set Node Classification with Adaptive Noise Detection. IJCAI 2024: 5481-5489 - [c142]Kaize Ding, Xiaoxiao Ma, Yixin Liu, Shirui Pan:
Divide and Denoise: Empowering Simple Models for Robust Semi-Supervised Node Classification against Label Noise. KDD 2024: 574-584 - [c141]Xu Shen, Yili Wang, Kaixiong Zhou, Shirui Pan, Xin Wang:
Optimizing OOD Detection in Molecular Graphs: A Novel Approach with Diffusion Models. KDD 2024: 2640-2650 - [c140]Kun Wang, Guibin Zhang, Xinnan Zhang, Junfeng Fang, Xun Wu, Guohao Li, Shirui Pan, Wei Huang, Yuxuan Liang:
The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs. KDD 2024: 3164-3175 - [c139]Yuxuan Liang, Haomin Wen, Yuqi Nie, Yushan Jiang, Ming Jin, Dongjin Song, Shirui Pan, Qingsong Wen:
Foundation Models for Time Series Analysis: A Tutorial and Survey. KDD 2024: 6555-6565 - [c138]Qianxin Huang, Siyao Peng, Xiaobo Shen, Yunhao Yuan, Shirui Pan:
Similarity Preserving Transformer Cross-Modal Hashing for Video-Text Retrieval. ACM Multimedia 2024: 5883-5891 - [c137]Bang Wu, He Zhang, Xiangwen Yang, Shuo Wang, Minhui Xue, Shirui Pan, Xingliang Yuan:
GraphGuard: Detecting and Counteracting Training Data Misuse in Graph Neural Networks. NDSS 2024 - [c136]Bang Wu, Xingliang Yuan, Shuo Wang, Qi Li, Minhui Xue, Shirui Pan:
Securing Graph Neural Networks in MLaaS: A Comprehensive Realization of Query-based Integrity Verification. SP 2024: 2534-2552 - [c135]Xiao Zhang, Peng Bao, Shirui Pan:
Maximizing Malicious Influence in Node Injection Attack. WSDM 2024: 958-966 - [c134]Shixun Huang, Ge Lee, Zhifeng Bao, Shirui Pan:
Cost-effective Data Labelling for Graph Neural Networks. WWW 2024: 353-364 - [c133]Jiapu Wang, Zheng Cui, Boyue Wang, Shirui Pan, Junbin Gao, Baocai Yin, Wen Gao:
IME: Integrating Multi-curvature Shared and Specific Embedding for Temporal Knowledge Graph Completion. WWW 2024: 1954-1962 - [d1]Huan Yee Koh, Anh T. N. Nguyen, Shirui Pan, Lauren T. May, Geoffrey I. Webb:
Datasets for "Physicochemical graph neural network for learning protein-ligand interaction fingerprints from sequence data". Zenodo, 2024
- [i166]Yu Zheng, Huan Yee Koh, Ming Jin, Lianhua Chi, Haishuai Wang, Khoa Tran Phan, Yi-Ping Phoebe Chen, Shirui Pan, Wei Xiang:
Graph Spatiotemporal Process for Multivariate Time Series Anomaly Detection with Missing Values. CoRR abs/2401.05800 (2024) - [i165]Luzhi Wang, Dongxiao He, He Zhang, Yixin Liu, Wenjie Wang, Shirui Pan, Di Jin, Tat-Seng Chua:
GOODAT: Towards Test-time Graph Out-of-Distribution Detection. CoRR abs/2401.06176 (2024) - [i164]Guibin Zhang, Yanwei Yue, Kun Wang, Junfeng Fang, Yongduo Sui, Kai Wang, Yuxuan Liang, Dawei Cheng, Shirui Pan, Tianlong Chen:
Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness. CoRR abs/2402.01242 (2024) - [i163]Tongtong Wu, Linhao Luo, Yuan-Fang Li, Shirui Pan, Thuy-Trang Vu, Gholamreza Haffari:
Continual Learning for Large Language Models: A Survey. CoRR abs/2402.01364 (2024) - [i162]Ming Jin, Yifan Zhang, Wei Chen, Kexin Zhang, Yuxuan Liang, Bin Yang, Jindong Wang, Shirui Pan, Qingsong Wen:
Position Paper: What Can Large Language Models Tell Us about Time Series Analysis. CoRR abs/2402.02713 (2024) - [i161]Jiaxi Hu, Yuehong Hu, Wei Chen, Ming Jin, Shirui Pan, Qingsong Wen, Yuxuan Liang:
Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective. CoRR abs/2402.11463 (2024) - [i160]Man Wu, Xin Zheng, Qin Zhang, Xiao Shen, Xiong Luo, Xingquan Zhu, Shirui Pan:
Graph Learning under Distribution Shifts: A Comprehensive Survey on Domain Adaptation, Out-of-distribution, and Continual Learning. CoRR abs/2402.16374 (2024) - [i159]Qin Zhang, Xiaowei Li, Jiexin Lu, Liping Qiu, Shirui Pan, Xiaojun Chen, Junyang Chen:
ROGPL: Robust Open-Set Graph Learning via Region-Based Prototype Learning. CoRR abs/2402.18495 (2024) - [i158]Di Mi, Yanjun Zhang, Leo Yu Zhang, Shengshan Hu, Qi Zhong, Haizhuan Yuan, Shirui Pan:
Towards Model Extraction Attacks in GAN-Based Image Translation via Domain Shift Mitigation. CoRR abs/2403.07673 (2024) - [i157]Xin Liu, Yuxiang Zhang, Meng Wu, Mingyu Yan, Kun He, Wei Yan, Shirui Pan, Xiaochun Ye, Dongrui Fan:
Revisiting Edge Perturbation for Graph Neural Network in Graph Data Augmentation and Attack. CoRR abs/2403.07943 (2024) - [i156]Xin Zheng, Dongjin Song, Qingsong Wen, Bo Du, Shirui Pan:
Online GNN Evaluation Under Test-time Graph Distribution Shifts. CoRR abs/2403.09953 (2024) - [i155]Yuxuan Liang, Haomin Wen, Yuqi Nie, Yushan Jiang, Ming Jin, Dongjin Song, Shirui Pan, Qingsong Wen:
Foundation Models for Time Series Analysis: A Tutorial and Survey. CoRR abs/2403.14735 (2024) - [i154]Jiapu Wang, Zheng Cui, Boyue Wang, Shirui Pan, Junbin Gao, Baocai Yin, Wen Gao:
IME: Integrating Multi-curvature Shared and Specific Embedding for Temporal Knowledge Graph Completion. CoRR abs/2403.19881 (2024) - [i153]Zhaopeng Peng, Xiaoliang Fan, Yufan Chen, Zheng Wang, Shirui Pan, Chenglu Wen, Ruisheng Zhang, Cheng Wang:
FedPFT: Federated Proxy Fine-Tuning of Foundation Models. CoRR abs/2404.11536 (2024) - [i152]Xu Shen, Yili Wang, Kaixiong Zhou, Shirui Pan, Xin Wang:
Optimizing OOD Detection in Molecular Graphs: A Novel Approach with Diffusion Models. CoRR abs/2404.15625 (2024) - [i151]Chuang Liu, Zelin Yao, Yibing Zhan, Xueqi Ma, Shirui Pan, Wenbin Hu:
Gradformer: Graph Transformer with Exponential Decay. CoRR abs/2404.15729 (2024) - [i150]Yiyuan Yang, Ming Jin, Haomin Wen, Chaoli Zhang, Yuxuan Liang, Lintao Ma, Yi Wang, Chenghao Liu, Bin Yang, Zenglin Xu, Jiang Bian, Shirui Pan, Qingsong Wen:
A Survey on Diffusion Models for Time Series and Spatio-Temporal Data. CoRR abs/2404.18886 (2024) - [i149]Farid Saberi-Movahed, Kamal Berahmand, Razieh Sheikhpour, Yuefeng Li, Shirui Pan:
Nonnegative Matrix Factorization in Dimensionality Reduction: A Survey. CoRR abs/2405.03615 (2024) - [i148]Shilong Wang, Hao Wu, Yifan Duan, Guibin Zhang, Guohao Li, Yuxuan Liang, Shirui Pan, Kun Wang, Yang Wang:
All Nodes are created Not Equal: Node-Specific Layer Aggregation and Filtration for GNN. CoRR abs/2405.07892 (2024) - [i147]Chuang Liu, Zelin Yao, Yibing Zhan, Xueqi Ma, Dapeng Tao, Jia Wu, Wenbin Hu, Shirui Pan, Bo Du:
Hi-GMAE: Hierarchical Graph Masked Autoencoders. CoRR abs/2405.10642 (2024) - [i146]Jiapu Wang, Kai Sun, Linhao Luo, Wei Wei, Yongli Hu, Alan Wee-Chung Liew, Shirui Pan, Baocai Yin:
Large Language Models-guided Dynamic Adaptation for Temporal Knowledge Graph Reasoning. CoRR abs/2405.14170 (2024) - [i145]Guibin Zhang, Xiangguo Sun, Yanwei Yue, Kun Wang, Tianlong Chen, Shirui Pan:
Graph Sparsification via Mixture of Graphs. CoRR abs/2405.14260 (2024) - [i144]He Zhang, Bang Wu, Xiangwen Yang, Xingliang Yuan, Chengqi Zhang, Shirui Pan:
Gradient Transformation: Towards Efficient and Model-Agnostic Unlearning for Dynamic Graph Neural Networks. CoRR abs/2405.14407 (2024) - [i143]Kun Li, Xiuwen Gong, Shirui Pan, Jia Wu, Bo Du, Wenbin Hu:
Regressor-free Molecule Generation to Support Drug Response Prediction. CoRR abs/2405.14536 (2024) - [i142]Hongzhi Zhang, Xiuwen Gong, Shirui Pan, Jia Wu, Bo Du, Wenbin Hu:
A Cross-Field Fusion Strategy for Drug-Target Interaction Prediction. CoRR abs/2405.14545 (2024) - [i141]Yixin Liu, Shiyuan Li, Yu Zheng, Qingfeng Chen, Chengqi Zhang, Shirui Pan:
ARC: A Generalist Graph Anomaly Detector with In-Context Learning. CoRR abs/2405.16771 (2024) - [i140]Xin He, Wenqi Fan, Ruobing Wang, Yili Wang, Ying Wang, Shirui Pan, Xin Wang:
Balancing User Preferences by Social Networks: A Condition-Guided Social Recommendation Model for Mitigating Popularity Bias. CoRR abs/2405.16772 (2024) - [i139]Zhaoxi Zhang, Xiaomei Zhang, Yanjun Zhang, Leo Yu Zhang, Chao Chen, Shengshan Hu, Asif Gill, Shirui Pan:
Large Language Model Watermark Stealing With Mixed Integer Programming. CoRR abs/2405.19677 (2024) - [i138]Langzhang Liang, Sunwoo Kim, Kijung Shin, Zenglin Xu, Shirui Pan, Yuan Qi:
Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs. CoRR abs/2405.20652 (2024) - [i137]Bahram Mohammadi, Yicong Hong, Yuankai Qi, Qi Wu, Shirui Pan, Javen Qinfeng Shi:
Augmented Commonsense Knowledge for Remote Object Grounding. CoRR abs/2406.01256 (2024) - [i136]Yang Liu, Chuan Zhou, Peng Zhang, Shirui Pan, Zhao Li, Hongyang Chen:
Decision-focused Graph Neural Networks for Combinatorial Optimization. CoRR abs/2406.03647 (2024) - [i135]Kun Wang, Guibin Zhang, Xinnan Zhang, Junfeng Fang, Xun Wu, Guohao Li, Shirui Pan, Wei Huang, Yuxuan Liang:
The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs. CoRR abs/2406.12539 (2024) - [i134]Yili Wang, Yixin Liu, Xu Shen, Chenyu Li, Kaize Ding, Rui Miao, Ying Wang, Shirui Pan, Xin Wang:
Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark. CoRR abs/2406.15523 (2024) - [i133]Guangsi Shi, Xiaofeng Deng, Linhao Luo, Lijuan Xia, Lei Bao, Bei Ye, Fei Du, Shirui Pan, Yuxiao Li:
LLM-Powered Explanations: Unraveling Recommendations Through Subgraph Reasoning. CoRR abs/2406.15859 (2024) - [i132]Shiyuan Li, Yixin Liu, Qingfeng Chen, Geoffrey I. Webb, Shirui Pan:
Noise-Resilient Unsupervised Graph Representation Learning via Multi-Hop Feature Quality Estimation. CoRR abs/2407.19944 (2024) - [i131]Zicheng Zhao, Linhao Luo, Shirui Pan, Chengqi Zhang, Chen Gong:
Graph Stochastic Neural Process for Inductive Few-shot Knowledge Graph Completion. CoRR abs/2408.01784 (2024) - [i130]Dongyuan Li, Shiyin Tan, Ying Zhang, Ming Jin, Shirui Pan, Manabu Okumura, Renhe Jiang:
DyG-Mamba: Continuous State Space Modeling on Dynamic Graphs. CoRR abs/2408.06966 (2024) - [i129]Wenqing Deng, Zhe Wang, Kewen Wang, Shirui Pan, Xiaowang Zhang, Zhiyong Feng:
Differentiating Choices via Commonality for Multiple-Choice Question Answering. CoRR abs/2408.11554 (2024) - [i128]Yizhen Zheng, Huan Yee Koh, Maddie Yang, Li Li, Lauren T. May, Geoffrey I. Webb, Shirui Pan, George Church:
Large Language Models in Drug Discovery and Development: From Disease Mechanisms to Clinical Trials. CoRR abs/2409.04481 (2024) - [i127]Jun Yin, Zhengxin Zeng, Mingzheng Li, Hao Yan, Chaozhuo Li, Weihao Han, Jianjin Zhang, Ruochen Liu, Allen Sun, Denvy Deng, Feng Sun, Qi Zhang, Shirui Pan, Senzhang Wang:
Unleash LLMs Potential for Recommendation by Coordinating Twin-Tower Dynamic Semantic Token Generator. CoRR abs/2409.09253 (2024) - [i126]Mohit Gupta, Debjit Bhowmick, Meead Saberi, Shirui Pan, Ben Beck:
Evaluating the effects of Data Sparsity on the Link-level Bicycling Volume Estimation: A Graph Convolutional Neural Network Approach. CoRR abs/2410.08522 (2024) - [i125]Qingren Yao, Chao-Han Huck Yang, Renhe Jiang, Yuxuan Liang, Ming Jin, Shirui Pan:
Towards Neural Scaling Laws for Time Series Foundation Models. CoRR abs/2410.12360 (2024) - [i124]Linhao Luo, Zicheng Zhao, Chen Gong, Gholamreza Haffari, Shirui Pan:
Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language Models. CoRR abs/2410.13080 (2024) - [i123]Yida Xiong, Kun Li, Weiwei Liu, Jia Wu, Bo Du, Shirui Pan, Wenbin Hu:
Text-Guided Multi-Property Molecular Optimization with a Diffusion Language Model. CoRR abs/2410.13597 (2024) - [i122]Wei Lan, Wenyi Chen, Qingfeng Chen, Shirui Pan, Huiyu Zhou, Yi Pan:
A Survey of Hallucination in Large Visual Language Models. CoRR abs/2410.15359 (2024) - 2023
- [j106]Ruyi Chen, Fuyi Li, Xudong Guo, Yue Bi, Chen Li, Shirui Pan, Lachlan J. M. Coin, Jiangning Song:
ATTIC is an integrated approach for predicting A-to-I RNA editing sites in three species. Briefings Bioinform. 24(3) (2023) - [j105]Fuyi Li, Xudong Guo, Yue Bi, Runchang Jia, Miranda E. Pitt, Shirui Pan, Shuqin Li, Robin B. Gasser, Lachlan J. M. Coin, Jiangning Song:
Digerati - A multipath parallel hybrid deep learning framework for the identification of mycobacterial PE/PPE proteins. Comput. Biol. Medicine 163: 107155 (2023) - [j104]Huan Yee Koh, Jiaxin Ju, Ming Liu, Shirui Pan:
An Empirical Survey on Long Document Summarization: Datasets, Models, and Metrics. ACM Comput. Surv. 55(8): 154:1-154:35 (2023) - [j103]Tao Dai, Jie Zhao, Dehong Li, Shun Tian, Xiangmo Zhao, Shirui Pan:
Heterogeneous deep graph convolutional network with citation relational BERT for COVID-19 inline citation recommendation. Expert Syst. Appl. 213(Part): 118841 (2023) - [j102]Ghazaleh Niknam, Soheila Molaei, Hadi Zare, David A. Clifton, Shirui Pan:
Graph representation learning based on deep generative gaussian mixture models. Neurocomputing 523: 157-169 (2023) - [j101]Di Jin, Luzhi Wang, He Zhang, Yizhen Zheng, Weiping Ding, Feng Xia, Shirui Pan:
A survey on fairness-aware recommender systems. Inf. Fusion 100: 101906 (2023) - [j100]Chu Zhong, Fei Xiong, Shirui Pan, Liang Wang, Xi Xiong:
Hierarchical attention neural network for information cascade prediction. Inf. Sci. 622: 1109-1127 (2023) - [j99]Xiaoyong Mei, Yougen Zhou, Chenjing Zhu, Mengting Wu, Ming Li, Shirui Pan:
A disentangled linguistic graph model for explainable aspect-based sentiment analysis. Knowl. Based Syst. 260: 110150 (2023) - [j98]Xiao Shen, Shirui Pan, Kup-Sze Choi, Xi Zhou:
Domain-adaptive message passing graph neural network. Neural Networks 164: 439-454 (2023) - [j97]Ghazaleh Niknam, Soheila Molaei, Hadi Zare, Shirui Pan, Mahdi Jalili, Tingting Zhu, David A. Clifton:
DyVGRNN: DYnamic mixture Variational Graph Recurrent Neural Networks. Neural Networks 165: 596-610 (2023) - [j96]Dongran Yu, Bo Yang, Dayou Liu, Hui Wang, Shirui Pan:
A survey on neural-symbolic learning systems. Neural Networks 166: 105-126 (2023) - [j95]Xiao Shen, Shirui Pan, Kup-Sze Choi, Xi Zhou:
Corrigendum to " Domain-adaptive Message Passing Graph Neural Network" [Neural Netw. 164 (2023) 439-454]. Neural Networks 168: 337-338 (2023) - [j94]Hao Peng, Ruitong Zhang, Shaoning Li, Yuwei Cao, Shirui Pan, Philip S. Yu:
Reinforced, Incremental and Cross-Lingual Event Detection From Social Messages. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 980-998 (2023) - [j93]Haiyang Lin, Mingyu Yan, Xiaochun Ye, Dongrui Fan, Shirui Pan, Wenguang Chen, Yuan Xie:
A Comprehensive Survey on Distributed Training of Graph Neural Networks. Proc. IEEE 111(12): 1572-1606 (2023) - [j92]Xin Zheng, Yanbo Fan, Baoyuan Wu, Yong Zhang, Jue Wang, Shirui Pan:
Robust Physical-World Attacks on Face Recognition. Pattern Recognit. 133: 109009 (2023) - [j91]Xiaobo Shen, Yew-Soon Ong, Zheng Mao, Shirui Pan, Weiwei Liu, Yuhui Zheng:
Compact network embedding for fast node classification. Pattern Recognit. 136: 109236 (2023) - [j90]Bing Yang, Hailiang Ye, Ming Li, Feilong Cao, Shirui Pan:
GoLoG: Global-to-Local Decoupling Graph Network With Joint Optimization for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [j89]Di Jin, Zhizhi Yu, Pengfei Jiao, Shirui Pan, Dongxiao He, Jia Wu, Philip S. Yu, Weixiong Zhang:
A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning. IEEE Trans. Knowl. Data Eng. 35(2): 1149-1170 (2023) - [j88]Yixin Liu, Ming Jin, Shirui Pan, Chuan Zhou, Yu Zheng, Feng Xia, Philip S. Yu:
Graph Self-Supervised Learning: A Survey. IEEE Trans. Knowl. Data Eng. 35(6): 5879-5900 (2023) - [j87]Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Chengqi Zhang:
Beyond Low-Pass Filtering: Graph Convolutional Networks With Automatic Filtering. IEEE Trans. Knowl. Data Eng. 35(7): 6687-6697 (2023) - [j86]He Zhang, Xingliang Yuan, Chuan Zhou, Shirui Pan:
Projective Ranking-Based GNN Evasion Attacks. IEEE Trans. Knowl. Data Eng. 35(8): 8402-8416 (2023) - [j85]Ming Jin, Yu Zheng, Yuan-Fang Li, Siheng Chen, Bin Yang, Shirui Pan:
Multivariate Time Series Forecasting With Dynamic Graph Neural ODEs. IEEE Trans. Knowl. Data Eng. 35(9): 9168-9180 (2023) - [j84]Yixin Liu, Shirui Pan, Yu Guang Wang, Fei Xiong, Liang Wang, Qingfeng Chen, Vincent Cheng-Siong Lee:
Anomaly Detection in Dynamic Graphs via Transformer. IEEE Trans. Knowl. Data Eng. 35(12): 12081-12094 (2023) - [j83]Liang Wang, Dingqi Yang, Zhiwen Yu, Fei Xiong, Lei Han, Shirui Pan, Bin Guo:
Task Scheduling in Three-Dimensional Spatial Crowdsourcing: A Social Welfare Perspective. IEEE Trans. Mob. Comput. 22(9): 5555-5567 (2023) - [j82]Soheila Molaei, Nima Ghanbari Bousejin, Hadi Zare, Mahdi Jalili, Shirui Pan:
Learning Graph Representations With Maximal Cliques. IEEE Trans. Neural Networks Learn. Syst. 34(2): 1089-1096 (2023) - [j81]Chaojie Li, Wensen Jiang, Yin Yang, Shirui Pan, Gang Huang, Lijie Guo:
Predicting Best-Selling New Products in a Major Promotion Campaign Through Graph Convolutional Networks. IEEE Trans. Neural Networks Learn. Syst. 34(11): 9102-9115 (2023) - [j80]Yuchen Zhou, Yanan Cao, Yanmin Shang, Chuan Zhou, Shirui Pan, Zheng Lin, Qian Li:
Explainable Hyperbolic Temporal Point Process for User-Item Interaction Sequence Generation. ACM Trans. Inf. Syst. 41(4): 83:1-83:26 (2023) - [j79]Xiang Ying, Zechen Meng, Mankun Zhao, Mei Yu, Shirui Pan, Xuewei Li:
Gated graph convolutional network with enhanced representation and joint attention for distant supervised heterogeneous relation extraction. World Wide Web (WWW) 26(1): 401-420 (2023) - [c132]Yixin Liu, Yizhen Zheng, Daokun Zhang, Vincent C. S. Lee, Shirui Pan:
Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating. AAAI 2023: 4516-4524 - [c131]Xiao Shen, Dewang Sun, Shirui Pan, Xi Zhou, Laurence T. Yang:
Neighbor Contrastive Learning on Learnable Graph Augmentation. AAAI 2023: 9782-9791 - [c130]Xiaocheng Yang, Mingyu Yan, Shirui Pan, Xiaochun Ye, Dongrui Fan:
Simple and Efficient Heterogeneous Graph Neural Network. AAAI 2023: 10816-10824 - [c129]Bo Xiong, Mojtaba Nayyeri, Shirui Pan, Steffen Staab:
Shrinking Embeddings for Hyper-Relational Knowledge Graphs. ACL (1) 2023: 13306-13320 - [c128]Bo Li, Jiaxin Ju, Can Wang, Shirui Pan:
How Does ChatGPT Affect Fake News Detection Systems? ADMA (2) 2023: 565-580 - [c127]Dongwon Ryu, Meng Fang, Gholamreza Haffari, Shirui Pan, Ehsan Shareghi:
A Minimal Approach for Natural Language Action Space in Text-based Games. CoNLL 2023: 138-154 - [c126]Yuanzhe Zhang, Shirui Pan, Jiangshan Yu:
TxAllo: Dynamic Transaction Allocation in Sharded Blockchain Systems. ICDE 2023: 721-733 - [c125]Linhao Luo, Yumeng Li, Buyu Gao, Shuai Tang, Sinan Wang, Jiancheng Li, Tanchao Zhu, Jiancai Liu, Zhao Li, Shirui Pan:
MAMDR: A Model Agnostic Learning Framework for Multi-Domain Recommendation. ICDE 2023: 3079-3092 - [c124]Jingkai Peng, Fei Xiong, Shirui Pan, Liang Wang, Xi Xiong:
Robust Network Alignment with the Combination of Structure and Attribute Embeddings. ICDM 2023: 498-507 - [c123]Junjun Pan, Yixin Liu, Yizhen Zheng, Shirui Pan:
PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection. ICDM 2023: 1253-1258 - [c122]Yuxi Wei, Juntong Peng, Tong He, Chenxin Xu, Jian Zhang, Shirui Pan, Siheng Chen:
Compatible Transformer for Irregularly Sampled Multivariate Time Series. ICDM 2023: 1409-1414 - [c121]He Zhang, Bang Wu, Shuo Wang, Xiangwen Yang, Minhui Xue, Shirui Pan, Xingliang Yuan:
Demystifying Uneven Vulnerability of Link Stealing Attacks against Graph Neural Networks. ICML 2023: 41737-41752 - [c120]Yizhen Zheng, He Zhang, Vincent Cheng-Siong Lee, Yu Zheng, Xiao Wang, Shirui Pan:
Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs. ICML 2023: 42492-42505 - [c119]Qin Zhang, Zelin Shi, Xiaolin Zhang, Xiaojun Chen, Philippe Fournier-Viger, Shirui Pan:
G2Pxy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns. IJCAI 2023: 4576-4583 - [c118]Yixin Liu, Kaize Ding, Jianling Wang, Vincent C. S. Lee, Huan Liu, Shirui Pan:
Learning Strong Graph Neural Networks with Weak Information. KDD 2023: 1559-1571 - [c117]Xiaobo Shen, Yinfan Chen, Shirui Pan, Weiwei Liu, Yuhui Zheng:
Graph Convolutional Incomplete Multi-modal Hashing. ACM Multimedia 2023: 7029-7037 - [c116]Yixin Liu, Kaize Ding, Qinghua Lu, Fuyi Li, Leo Yu Zhang, Shirui Pan:
Towards Self-Interpretable Graph-Level Anomaly Detection. NeurIPS 2023 - [c115]Xin Zheng, Miao Zhang, Chunyang Chen, Soheila Molaei, Chuan Zhou, Shirui Pan:
GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels. NeurIPS 2023 - [c114]Xin Zheng, Miao Zhang, Chunyang Chen, Quoc Viet Hung Nguyen, Xingquan Zhu, Shirui Pan:
Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data. NeurIPS 2023 - [c113]Zicheng Zhao, Linhao Luo, Shirui Pan, Quoc Viet Hung Nguyen, Chen Gong:
Towards Few-Shot Inductive Link Prediction on Knowledge Graphs: A Relational Anonymous Walk-Guided Neural Process Approach. ECML/PKDD (3) 2023: 515-532 - [c112]Linhao Luo, Yuan-Fang Li, Gholamreza Haffari, Shirui Pan:
Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph Completion. SIGIR 2023: 900-910 - [c111]Duanxiao Song, Guangyuan Shen, Dehong Gao, Libin Yang, Xukai Zhou, Shirui Pan, Wei Lou, Fang Zhou:
Fast Heterogeneous Federated Learning with Hybrid Client Selection. UAI 2023: 2006-2015 - [c110]Yixin Liu, Kaize Ding, Huan Liu, Shirui Pan:
GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection. WSDM 2023: 339-347 - [c109]Linhao Luo, Gholamreza Haffari, Shirui Pan:
Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs. WSDM 2023: 778-786 - [c108]Tyler Derr, Yao Ma, Benedek Rozemberczki, Neil Shah, Shirui Pan:
The 3rd International Workshop on Machine Learning on Graphs (MLoG). WSDM 2023: 1271-1272 - [c107]Yang Liu, Chuan Zhou, Shirui Pan, Jia Wu, Zhao Li, Hongyang Chen, Peng Zhang:
CurvDrop: A Ricci Curvature Based Approach to Prevent Graph Neural Networks from Over-Smoothing and Over-Squashing. WWW 2023: 221-230 - [c106]Bingxin Zhou, Yuanhong Jiang, Yuguang Wang, Jingwei Liang, Junbin Gao, Shirui Pan, Xiaoqun Zhang:
Robust Graph Representation Learning for Local Corruption Recovery. WWW 2023: 438-448 - [c105]Xin Zheng, Miao Zhang, Chunyang Chen, Qin Zhang, Chuan Zhou, Shirui Pan:
Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs. WWW 2023: 611-620 - [c104]Di Jin, Luzhi Wang, Yizhen Zheng, Guojie Song, Fei Jiang, Xiang Li, Wei Lin, Shirui Pan:
Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation. WWW 2023: 684-693 - [i121]Xiao Shen, Dewang Sun, Shirui Pan, Xi Zhou, Laurence T. Yang:
Neighbor Contrastive Learning on Learnable Graph Augmentation. CoRR abs/2301.01404 (2023) - [i120]He Zhang, Xingliang Yuan, Quoc Viet Hung Nguyen, Shirui Pan:
On the Interaction between Node Fairness and Edge Privacy in Graph Neural Networks. CoRR abs/2301.12951 (2023) - [i119]Xin Zheng, Miao Zhang, Chunyang Chen, Qin Zhang, Chuan Zhou, Shirui Pan:
Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs. CoRR abs/2302.12357 (2023) - [i118]Junbin Mao, Jin Liu, Hanhe Lin, Hulin Kuang, Shirui Pan, Yi Pan:
Multi-modal Multi-kernel Graph Learning for Autism Prediction and Biomarker Discovery. CoRR abs/2303.03388 (2023) - [i117]Linhao Luo, Yuan-Fang Li, Gholamreza Haffari, Shirui Pan:
Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph Completion. CoRR abs/2304.08183 (2023) - [i116]Bo Xiong, Mojtaba Nayyeri, Ming Jin, Yunjie He, Michael Cochez, Shirui Pan, Steffen Staab:
Geometric Relational Embeddings: A Survey. CoRR abs/2304.11949 (2023) - [i115]Fatemeh Shiri, Teresa Wang, Shirui Pan, Xiaojun Chang, Yuan-Fang Li, Reza Haffari, Van Nguyen, Shuang Yu:
Toward the Automated Construction of Probabilistic Knowledge Graphs for the Maritime Domain. CoRR abs/2305.02471 (2023) - [i114]Dongwon Kelvin Ryu, Meng Fang, Shirui Pan, Gholamreza Haffari, Ehsan Shareghi:
A Minimal Approach for Natural Language Action Space in Text-based Games. CoRR abs/2305.04082 (2023) - [i113]Di Jin, Luzhi Wang, Yizhen Zheng, Guojie Song, Fei Jiang, Xiang Li, Wei Lin, Shirui Pan:
Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation. CoRR abs/2305.05848 (2023) - [i112]Ming Jin, Guangsi Shi, Yuan-Fang Li, Qingsong Wen, Bo Xiong, Tian Zhou, Shirui Pan:
How Expressive are Spectral-Temporal Graph Neural Networks for Time Series Forecasting? CoRR abs/2305.06587 (2023) - [i111]Guangsi Shi, Daokun Zhang, Ming Jin, Shirui Pan:
Towards Complex Dynamic Physics System Simulation with Graph Neural ODEs. CoRR abs/2305.12334 (2023) - [i110]Yixin Liu, Kaize Ding, Jianling Wang, Vincent C. S. Lee, Huan Liu, Shirui Pan:
Learning Strong Graph Neural Networks with Weak Information. CoRR abs/2305.18457 (2023) - [i109]Di Jin, Luzhi Wang, He Zhang, Yizhen Zheng, Weiping Ding, Feng Xia, Shirui Pan:
A Survey on Fairness-aware Recommender Systems. CoRR abs/2306.00403 (2023) - [i108]Bo Xiong, Mojtaba Nayyeri, Shirui Pan, Steffen Staab:
Shrinking Embeddings for Hyper-Relational Knowledge Graphs. CoRR abs/2306.02199 (2023) - [i107]Xin Zheng, Miao Zhang, Chunyang Chen, Quoc Viet Hung Nguyen, Xingquan Zhu, Shirui Pan:
Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data. CoRR abs/2306.02664 (2023) - [i106]Yizhen Zheng, He Zhang, Vincent C. S. Lee, Yu Zheng, Xiao Wang, Shirui Pan:
Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs. CoRR abs/2306.07608 (2023) - [i105]Shirui Pan, Linhao Luo, Yufei Wang, Chen Chen, Jiapu Wang, Xindong Wu:
Unifying Large Language Models and Knowledge Graphs: A Roadmap. CoRR abs/2306.08302 (2023) - [i104]Kexin Zhang, Qingsong Wen, Chaoli Zhang, Rongyao Cai, Ming Jin, Yong Liu, James Zhang, Yuxuan Liang, Guansong Pang, Dongjin Song, Shirui Pan:
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects. CoRR abs/2306.10125 (2023) - [i103]Zicheng Zhao, Linhao Luo, Shirui Pan, Quoc Viet Hung Nguyen, Chen Gong:
Towards Few-shot Inductive Link Prediction on Knowledge Graphs: A Relational Anonymous Walk-guided Neural Process Approach. CoRR abs/2307.01204 (2023) - [i102]Ming Jin, Huan Yee Koh, Qingsong Wen, Daniele Zambon, Cesare Alippi, Geoffrey I. Webb, Irwin King, Shirui Pan:
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection. CoRR abs/2307.03759 (2023) - [i101]Yu Zheng, Huan Yee Koh, Ming Jin, Lianhua Chi, Khoa Tran Phan, Shirui Pan, Yi-Ping Phoebe Chen, Wei Xiang:
Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly Detection. CoRR abs/2307.08390 (2023) - [i100]Jiapu Wang, Boyue Wang, Meikang Qiu, Shirui Pan, Bo Xiong, Heng Liu, Linhao Luo, Tengfei Liu, Yongli Hu, Baocai Yin, Wen Gao:
A Survey on Temporal Knowledge Graph Completion: Taxonomy, Progress, and Prospects. CoRR abs/2308.02457 (2023) - [i99]Qin Zhang, Zelin Shi, Xiaolin Zhang, Xiaojun Chen, Philippe Fournier-Viger, Shirui Pan:
G2xy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns. CoRR abs/2308.05463 (2023) - [i98]Zahra Zamanzadeh Darban, Geoffrey I. Webb, Shirui Pan, Mahsa Salehi:
CARLA: A Self-supervised Contrastive Representation Learning Approach for Time Series Anomaly Detection. CoRR abs/2308.09296 (2023) - [i97]Xiao Shen, Shirui Pan, Kup-Sze Choi, Xi Zhou:
Domain-adaptive Message Passing Graph Neural Network. CoRR abs/2308.16470 (2023) - [i96]Linhao Luo, Jiaxin Ju, Bo Xiong, Yuan-Fang Li, Gholamreza Haffari, Shirui Pan:
ChatRule: Mining Logical Rules with Large Language Models for Knowledge Graph Reasoning. CoRR abs/2309.01538 (2023) - [i95]Xiao Shen, Mengqiu Shao, Shirui Pan, Laurence T. Yang, Xi Zhou:
Domain-adaptive Graph Attention-supervised Network for Cross-network Edge Classification. CoRR abs/2309.07380 (2023) - [i94]Jiaheng Wei, Yanjun Zhang, Leo Yu Zhang, Chao Chen, Shirui Pan, Kok-Leong Ong, Jun Zhang, Yang Xiang:
Client-side Gradient Inversion Against Federated Learning from Poisoning. CoRR abs/2309.07415 (2023) - [i93]Dongran Yu, Xueyan Liu, Shirui Pan, Anchen Li, Bo Yang:
A Novel Neural-symbolic System under Statistical Relational Learning. CoRR abs/2309.08931 (2023) - [i92]Xin Zheng, Yixin Liu, Zhifeng Bao, Meng Fang, Xia Hu, Alan Wee-Chung Liew, Shirui Pan:
Towards Data-centric Graph Machine Learning: Review and Outlook. CoRR abs/2309.10979 (2023) - [i91]Linhao Luo, Yuan-Fang Li, Gholamreza Haffari, Shirui Pan:
Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning. CoRR abs/2310.01061 (2023) - [i90]Ming Jin, Shiyu Wang, Lintao Ma, Zhixuan Chu, James Y. Zhang, Xiaoming Shi, Pin-Yu Chen, Yuxuan Liang, Yuan-Fang Li, Shirui Pan, Qingsong Wen:
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models. CoRR abs/2310.01728 (2023) - [i89]Shirui Pan, Yizhen Zheng, Yixin Liu:
Integrating Graphs with Large Language Models: Methods and Prospects. CoRR abs/2310.05499 (2023) - [i88]Yizhen Zheng, Huan Yee Koh, Jiaxin Ju, Anh T. N. Nguyen, Lauren T. May, Geoffrey I. Webb, Shirui Pan:
Large Language Models for Scientific Synthesis, Inference and Explanation. CoRR abs/2310.07984 (2023) - [i87]Ming Jin, Qingsong Wen, Yuxuan Liang, Chaoli Zhang, Siqiao Xue, Xue Wang, James Zhang, Yi Wang, Haifeng Chen, Xiaoli Li, Shirui Pan, Vincent S. Tseng, Yu Zheng, Lei Chen, Hui Xiong:
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook. CoRR abs/2310.10196 (2023) - [i86]Yuxi Wei, Juntong Peng, Tong He, Chenxin Xu, Jian Zhang, Shirui Pan, Siheng Chen:
Compatible Transformer for Irregularly Sampled Multivariate Time Series. CoRR abs/2310.11022 (2023) - [i85]Junjun Pan, Yixin Liu, Yizhen Zheng, Shirui Pan:
PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection. CoRR abs/2310.11676 (2023) - [i84]Xin Zheng, Miao Zhang, Chunyang Chen, Soheila Molaei, Chuan Zhou, Shirui Pan:
GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels. CoRR abs/2310.14586 (2023) - [i83]Yixin Liu, Kaize Ding, Qinghua Lu, Fuyi Li, Leo Yu Zhang, Shirui Pan:
Towards Self-Interpretable Graph-Level Anomaly Detection. CoRR abs/2310.16520 (2023) - [i82]Jiaxu Zhao, Meng Fang, Shirui Pan, Wenpeng Yin, Mykola Pechenizkiy:
GPTBIAS: A Comprehensive Framework for Evaluating Bias in Large Language Models. CoRR abs/2312.06315 (2023) - [i81]Bang Wu, He Zhang, Xiangwen Yang, Shuo Wang, Minhui Xue, Shirui Pan, Xingliang Yuan:
GraphGuard: Detecting and Counteracting Training Data Misuse in Graph Neural Networks. CoRR abs/2312.07861 (2023) - [i80]Bang Wu, Xingliang Yuan, Shuo Wang, Qi Li, Minhui Xue, Shirui Pan:
Securing Graph Neural Networks in MLaaS: A Comprehensive Realization of Query-based Integrity Verification. CoRR abs/2312.07870 (2023) - [i79]Bo Xiong, Mojtaba Nayyeri, Linhao Luo, Zihao Wang, Shirui Pan, Steffen Staab:
NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning. CoRR abs/2312.09219 (2023) - [i78]Zhangchi Qiu, Ye Tao, Shirui Pan, Alan Wee-Chung Liew:
Knowledge Graphs and Pre-trained Language Models enhanced Representation Learning for Conversational Recommender Systems. CoRR abs/2312.10967 (2023) - 2022
- [j78]Xuan Li, Wei Wu, Yun-Hao Yuan, Shirui Pan, Xiaobo Shen:
Online unsupervised cross-view discrete hashing for large-scale retrieval. Appl. Intell. 52(13): 14905-14917 (2022) - [j77]Fuyi Li, Shuangyu Dong, André Leier, Meiya Han, Xudong Guo, Jing Xu, Xiaoyu Wang, Shirui Pan, Cangzhi Jia, Yang Zhang, Geoffrey I. Webb, Lachlan J. M. Coin, Chen Li, Jiangning Song:
Positive-unlabeled learning in bioinformatics and computational biology: a brief review. Briefings Bioinform. 23(1) (2022) - [j76]Fei Xiong, Shirui Pan, Xuzhen Zhu:
Collective Behavior Analysis and Graph Mining in Social Networks 2021. Complex. 2022: 9873569:1-9873569:2 (2022) - [j75]Bahareh Fatemi, Soheila Molaei, Shirui Pan, Samira Abbasgholizadeh Rahimi:
GCNFusion: An efficient graph convolutional network based model for information diffusion. Expert Syst. Appl. 202: 117053 (2022) - [j74]Xin Mei, Xiaoyan Cai, Sen Xu, Wenjie Li, Shirui Pan, Libin Yang:
Mutually reinforced network embedding: An integrated approach to research paper recommendation. Expert Syst. Appl. 204: 117616 (2022) - [j73]Shirui Pan, Shaoxiong Ji, Di Jin, Feng Xia, Philip S. Yu:
Guest Editorial: Graph-powered machine learning in future-generation computing systems. Future Gener. Comput. Syst. 126: 88-90 (2022) - [j72]Li Wang, Wei Huang, Miao Zhang, Shirui Pan, Xiaojun Chang, Steven Weidong Su:
Pruning graph neural networks by evaluating edge properties. Knowl. Based Syst. 256: 109847 (2022) - [j71]Chun Wang, Shirui Pan, Celina Ping Yu, Ruiqi Hu, Guodong Long, Chengqi Zhang:
Deep neighbor-aware embedding for node clustering in attributed graphs. Pattern Recognit. 122: 108230 (2022) - [j70]Hong Yang, Ling Chen, Shirui Pan, Haishuai Wang, Peng Zhang:
Discrete embedding for attributed graphs. Pattern Recognit. 123: 108368 (2022) - [j69]Mingjiang Liang, Shaoli Huang, Shirui Pan, Mingming Gong, Wei Liu:
Learning multi-level weight-centric features for few-shot learning. Pattern Recognit. 128: 108662 (2022) - [j68]Sheng Wan, Shirui Pan, Shengwei Zhong, Jie Yang, Jian Yang, Yibing Zhan, Chen Gong:
Multi-level graph learning network for hyperspectral image classification. Pattern Recognit. 129: 108705 (2022) - [j67]Kaile Shi, Xiaoyan Cai, Libin Yang, Jintao Zhao, Shirui Pan:
StarSum: A Star Architecture Based Model for Extractive Summarization. IEEE ACM Trans. Audio Speech Lang. Process. 30: 3020-3031 (2022) - [j66]Wei Lan, Yi Dong, Qingfeng Chen, Jin Liu, Jianxin Wang, Yi-Ping Phoebe Chen, Shirui Pan:
IGNSCDA: Predicting CircRNA-Disease Associations Based on Improved Graph Convolutional Network and Negative Sampling. IEEE ACM Trans. Comput. Biol. Bioinform. 19(6): 3530-3538 (2022) - [j65]Man Wu, Shirui Pan, Xingquan Zhu:
Attraction and Repulsion: Unsupervised Domain Adaptive Graph Contrastive Learning Network. IEEE Trans. Emerg. Top. Comput. Intell. 6(5): 1079-1091 (2022) - [j64]Sheng Wan, Shirui Pan, Ping Zhong, Xiaojun Chang, Jian Yang, Chen Gong:
Dual Interactive Graph Convolutional Networks for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j63]Tengfei Xue, Yongliang Qiao, He Kong, Daobilige Su, Shirui Pan, Khalid Rafique, Salah Sukkarieh:
One-Shot Learning-Based Animal Video Segmentation. IEEE Trans. Ind. Informatics 18(6): 3799-3807 (2022) - [j62]Liang Wang, Zhiwen Yu, Qi Han, Dingqi Yang, Shirui Pan, Yuan Yao, Daqing Zhang:
Compact Scheduling for Task Graph Oriented Mobile Crowdsourcing. IEEE Trans. Mob. Comput. 21(7): 2358-2371 (2022) - [j61]Shaoxiong Ji, Shirui Pan, Erik Cambria, Pekka Marttinen, Philip S. Yu:
A Survey on Knowledge Graphs: Representation, Acquisition, and Applications. IEEE Trans. Neural Networks Learn. Syst. 33(2): 494-514 (2022) - [j60]Yixin Liu, Zhao Li, Shirui Pan, Chen Gong, Chuan Zhou, George Karypis:
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2378-2392 (2022) - [j59]Pengfei Jiao, Xuan Guo, Xin Jing, Dongxiao He, Huaming Wu, Shirui Pan, Maoguo Gong, Wenjun Wang:
Temporal Network Embedding for Link Prediction via VAE Joint Attention Mechanism. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7400-7413 (2022) - [j58]Zhao Li, Yixin Liu, Zhen Zhang, Shirui Pan, Jianliang Gao, Jiajun Bu:
Cyclic label propagation for graph semi-supervised learning. World Wide Web 25(2): 703-721 (2022) - [c103]Changjian Wang, Xiaofei Zhou, Shirui Pan, Linhua Dong, Zeliang Song, Ying Sha:
Exploring Relational Semantics for Inductive Knowledge Graph Completion. AAAI 2022: 4184-4192 - [c102]Ruibin Chen, Miao Zhang, Xin Zheng, Shirui Pan:
Thrifty Neural Architecture Search for Medical Image Segmentation (Student Abstract). AAAI 2022: 12925-12926 - [c101]Dongwon Ryu, Ehsan Shareghi, Meng Fang, Yunqiu Xu, Shirui Pan, Gholamreza Haffari:
Fire Burns, Sword Cuts: Commonsense Inductive Bias for Exploration in Text-based Games. ACL (2) 2022: 515-522 - [c100]Bang Wu, Xiangwen Yang, Shirui Pan, Xingliang Yuan:
Model Extraction Attacks on Graph Neural Networks: Taxonomy and Realisation. AsiaCCS 2022: 337-350 - [c99]Dongran Yu, Bo Yang, Qianhao Wei, Anchen Li, Shirui Pan:
A Probabilistic Graphical Model Based on Neural-symbolic Reasoning for Visual Relationship Detection. CVPR 2022: 10599-10608 - [c98]Miao Zhang, Shirui Pan, Xiaojun Chang, Steven Su, Jilin Hu, Gholamreza Haffari, Bin Yang:
BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule. CVPR 2022: 11861-11870 - [c97]Mingjie Li, Wenjia Cai, Karin Verspoor, Shirui Pan, Xiaodan Liang, Xiaojun Chang:
Cross-modal Clinical Graph Transformer for Ophthalmic Report Generation. CVPR 2022: 20624-20633 - [c96]Huan Yee Koh, Jiaxin Ju, He Zhang, Ming Liu, Shirui Pan:
How Far are We from Robust Long Abstractive Summarization? EMNLP 2022: 2682-2698 - [c95]Fatemeh Shiri, Terry Yue Zhuo, Zhuang Li, Shirui Pan, Weiqing Wang, Reza Haffari, Yuan-Fang Li, Van Nguyen:
Paraphrasing Techniques for Maritime QA system. FUSION 2022: 1-8 - [c94]Razvan-Gabriel Cirstea, Bin Yang, Chenjuan Guo, Tung Kieu, Shirui Pan:
Towards Spatio- Temporal Aware Traffic Time Series Forecasting. ICDE 2022: 2900-2913 - [c93]Qin Zhang, Qincai Li, Xiaojun Chen, Peng Zhang, Shirui Pan, Philippe Fournier-Viger, Joshua Zhexue Huang:
A Dynamic Variational Framework for Open-World Node Classification in Structured Sequences. ICDM 2022: 703-712 - [c92]Xin Zheng, Miao Zhang, Chunyang Chen, Chaojie Li, Chuan Zhou, Shirui Pan:
Multi-Relational Graph Neural Architecture Search with Fine-grained Message Passing. ICDM 2022: 783-792 - [c91]Yizhen Zheng, Yu Zheng, Xiaofei Zhou, Chen Gong, Vincent C. S. Lee, Shirui Pan:
Unifying Graph Contrastive Learning with Flexible Contextual Scopes. ICDM 2022: 793-802 - [c90]Razvan-Gabriel Cirstea, Chenjuan Guo, Bin Yang, Tung Kieu, Xuanyi Dong, Shirui Pan:
Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting. IJCAI 2022: 1994-2001 - [c89]Di Jin, Luzhi Wang, Yizhen Zheng, Xiang Li, Fei Jiang, Wei Lin, Shirui Pan:
CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning. IJCAI 2022: 2101-2107 - [c88]Shangbin Wu, Xu Yan, Xiaoliang Fan, Shirui Pan, Shichao Zhu, Chuanpan Zheng, Ming Cheng, Cheng Wang:
Multi-Graph Fusion Networks for Urban Region Embedding. IJCAI 2022: 2312-2318 - [c87]Xin Liu, Mingyu Yan, Lei Deng, Guoqi Li, Xiaochun Ye, Dongrui Fan, Shirui Pan, Yuan Xie:
Survey on Graph Neural Network Acceleration: An Algorithmic Perspective. IJCAI 2022: 5521-5529 - [c86]Wenya Li, Xiaofei Zhou, Xu Bai, Shirui Pan:
Improving Factual Consistency of Dialogue Summarization with Fact-Augmentation Mechanism. IJCNN 2022: 1-7 - [c85]Rom Uddamvathanak, Xin Zheng, Shirui Pan:
Joint Graph-Sequence Learning for Molecular Property Prediction. IJCNN 2022: 1-6 - [c84]Bo Xiong, Shichao Zhu, Mojtaba Nayyeri, Chengjin Xu, Shirui Pan, Chuan Zhou, Steffen Staab:
Ultrahyperbolic Knowledge Graph Embeddings. KDD 2022: 2130-2139 - [c83]Ming Jin, Yuan-Fang Li, Shirui Pan:
Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dynamic Graphs. NeurIPS 2022 - [c82]Bo Xiong, Shichao Zhu, Nico Potyka, Shirui Pan, Chuan Zhou, Steffen Staab:
Pseudo-Riemannian Graph Convolutional Networks. NeurIPS 2022 - [c81]Yizhen Zheng, Shirui Pan, Vincent C. S. Lee, Yu Zheng, Philip S. Yu:
Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination. NeurIPS 2022 - [c80]Zhao Kang, Zhanyu Liu, Shirui Pan, Ling Tian:
Fine-grained Attributed Graph Clustering. SDM 2022: 370-378 - [c79]Xuelian Ni, Fei Xiong, Yutian Hu, Shirui Pan, Hongshu Chen, Liang Wang:
Cyclic Transfer Learning for Recommender Systems with Heterogeneous Feedbacks. SDM 2022: 567-575 - [c78]Weizhen Dang, Haibo Wang, Shirui Pan, Pei Zhang, Chuan Zhou, Xin Chen, Jilong Wang:
Predicting Human Mobility via Graph Convolutional Dual-attentive Networks. WSDM 2022: 192-200 - [c77]Haoran Yang, Hongxu Chen, Shirui Pan, Lin Li, Philip S. Yu, Guandong Xu:
Dual Space Graph Contrastive Learning. WWW 2022: 1238-1247 - [c76]Yixin Liu, Yu Zheng, Daokun Zhang, Hongxu Chen, Hao Peng, Shirui Pan:
Towards Unsupervised Deep Graph Structure Learning. WWW 2022: 1392-1403 - [e3]Weitong Chen, Lina Yao, Taotao Cai, Shirui Pan, Tao Shen, Xue Li:
Advanced Data Mining and Applications - 18th International Conference, ADMA 2022, Brisbane, QLD, Australia, November 28-30, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13725, Springer 2022, ISBN 978-3-031-22063-0 [contents] - [e2]Weitong Chen, Lina Yao, Taotao Cai, Shirui Pan, Tao Shen, Xue Li:
Advanced Data Mining and Applications - 18th International Conference, ADMA 2022, Brisbane, QLD, Australia, November 28-30, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13726, Springer 2022, ISBN 978-3-031-22136-1 [contents] - [i77]Yixin Liu, Yu Zheng, Daokun Zhang, Hongxu Chen, Hao Peng, Shirui Pan:
Towards Unsupervised Deep Graph Structure Learning. CoRR abs/2201.06367 (2022) - [i76]Haoran Yang, Hongxu Chen, Shirui Pan, Lin Li, Philip S. Yu, Guandong Xu:
Dual Space Graph Contrastive Learning. CoRR abs/2201.07409 (2022) - [i75]Shangbin Wu, Xu Yan, Xiaoliang Fan, Shirui Pan, Shichao Zhu, Chuanpan Zheng, Ming Cheng, Cheng Wang:
Multi-Graph Fusion Networks for Urban Region Embedding. CoRR abs/2201.09760 (2022) - [i74]Xin Liu, Mingyu Yan, Lei Deng, Guoqi Li, Xiaochun Ye, Dongrui Fan, Shirui Pan, Yuan Xie:
Survey on Graph Neural Network Acceleration: An Algorithmic Perspective. CoRR abs/2202.04822 (2022) - [i73]Bingxin Zhou, Yuanhong Jiang, Yu Guang Wang, Jingwei Liang, Junbin Gao, Shirui Pan, Xiaoqun Zhang:
Graph Neural Network for Local Corruption Recovery. CoRR abs/2202.04936 (2022) - [i72]Yu Zheng, Ming Jin, Yixin Liu, Lianhua Chi, Khoa Tran Phan, Shirui Pan, Yi-Ping Phoebe Chen:
From Unsupervised to Few-shot Graph Anomaly Detection: A Multi-scale Contrastive Learning Approach. CoRR abs/2202.05525 (2022) - [i71]Xin Zheng, Yixin Liu, Shirui Pan, Miao Zhang, Di Jin, Philip S. Yu:
Graph Neural Networks for Graphs with Heterophily: A Survey. CoRR abs/2202.07082 (2022) - [i70]Ming Jin, Yu Zheng, Yuan-Fang Li, Siheng Chen, Bin Yang, Shirui Pan:
Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs. CoRR abs/2202.08408 (2022) - [i69]Linhao Luo, Yumeng Li, Buyu Gao, Shuai Tang, Sinan Wang, Jiancheng Li, Tanchao Zhu, Jiancai Liu, Zhao Li, Binqiang Zhao, Ziyang Zheng, Shirui Pan:
MAMDR: A Model Agnostic Learning Method for Multi-Domain Recommendation. CoRR abs/2202.12524 (2022) - [i68]He Zhang, Xingliang Yuan, Chuan Zhou, Shirui Pan:
Projective Ranking-based GNN Evasion Attacks. CoRR abs/2202.12993 (2022) - [i67]Fatemeh Shiri, Terry Yue Zhuo, Zhuang Li, Van Nguyen, Shirui Pan, Weiqing Wang, Reza Haffari, Yuan-Fang Li:
Paraphrasing Techniques for Maritime QA system. CoRR abs/2203.10854 (2022) - [i66]Razvan-Gabriel Cirstea, Bin Yang, Chenjuan Guo, Tung Kieu, Shirui Pan:
Towards Spatio-Temporal Aware Traffic Time Series Forecasting-Full Version. CoRR abs/2203.15737 (2022) - [i65]Razvan-Gabriel Cirstea, Chenjuan Guo, Bin Yang, Tung Kieu, Xuanyi Dong, Shirui Pan:
Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting-Full Version. CoRR abs/2204.13767 (2022) - [i64]He Zhang, Bang Wu, Xingliang Yuan, Shirui Pan, Hanghang Tong, Jian Pei:
Trustworthy Graph Neural Networks: Aspects, Methods and Trends. CoRR abs/2205.07424 (2022) - [i63]Di Jin, Luzhi Wang, Yizhen Zheng, Xiang Li, Fei Jiang, Wei Lin, Shirui Pan:
CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning. CoRR abs/2205.15083 (2022) - [i62]Bo Xiong, Shichao Zhu, Mojtaba Nayyeri, Chengjin Xu, Shirui Pan, Chuan Zhou, Steffen Staab:
Ultrahyperbolic Knowledge Graph Embeddings. CoRR abs/2206.00449 (2022) - [i61]Yizhen Zheng, Shirui Pan, Vincent C. S. Lee, Yu Zheng, Philip S. Yu:
Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination. CoRR abs/2206.01535 (2022) - [i60]Mingjie Li, Wenjia Cai, Karin Verspoor, Shirui Pan, Xiaodan Liang, Xiaojun Chang:
Cross-modal Clinical Graph Transformer for Ophthalmic Report Generation. CoRR abs/2206.01988 (2022) - [i59]Shichao Zhu, Chuan Zhou, Anfeng Cheng, Shirui Pan, Shuaiqiang Wang, Dawei Yin, Bin Wang:
Geometry Contrastive Learning on Heterogeneous Graphs. CoRR abs/2206.12547 (2022) - [i58]Huan Yee Koh, Jiaxin Ju, Ming Liu, Shirui Pan:
An Empirical Survey on Long Document Summarization: Datasets, Models and Metrics. CoRR abs/2207.00939 (2022) - [i57]Xiaocheng Yang, Mingyu Yan, Shirui Pan, Xiaochun Ye, Dongrui Fan:
Simple and Efficient Heterogeneous Graph Neural Network. CoRR abs/2207.02547 (2022) - [i56]Guangyuan Shen, Dehong Gao, Duanxiao Song, Libin Yang, Xukai Zhou, Shirui Pan, Wei Lou, Fang Zhou:
Fast Heterogeneous Federated Learning with Hybrid Client Selection. CoRR abs/2208.05135 (2022) - [i55]Xin Liu, Xunbin Xiong, Mingyu Yan, Runzhen Xue, Shirui Pan, Xiaochun Ye, Dongrui Fan:
Rethinking Efficiency and Redundancy in Training Large-scale Graphs. CoRR abs/2209.00800 (2022) - [i54]Yizhen Zheng, Yu Zheng, Xiaofei Zhou, Chen Gong, Vincent C. S. Lee, Shirui Pan:
Unifying Graph Contrastive Learning with Flexible Contextual Scopes. CoRR abs/2210.08792 (2022) - [i53]Huan Yee Koh, Jiaxin Ju, He Zhang, Ming Liu, Shirui Pan:
How Far are We from Robust Long Abstractive Summarization? CoRR abs/2210.16732 (2022) - [i52]Yixin Liu, Kaize Ding, Huan Liu, Shirui Pan:
GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection. CoRR abs/2211.04208 (2022) - [i51]Zahra Zamanzadeh Darban, Geoffrey I. Webb, Shirui Pan, Charu C. Aggarwal, Mahsa Salehi:
Deep Learning for Time Series Anomaly Detection: A Survey. CoRR abs/2211.05244 (2022) - [i50]Haiyang Lin, Mingyu Yan, Xiaochun Ye, Dongrui Fan, Shirui Pan, Wenguang Chen, Yuan Xie:
A Comprehensive Survey on Distributed Training of Graph Neural Networks. CoRR abs/2211.05368 (2022) - [i49]Linhao Luo, Reza Haffari, Shirui Pan:
Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs. CoRR abs/2211.08568 (2022) - [i48]Yixin Liu, Yizhen Zheng, Daokun Zhang, Vincent C. S. Lee, Shirui Pan:
Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating. CoRR abs/2211.14065 (2022) - [i47]Fengzhao Shi, Ren Li, Yanan Cao, Yanmin Shang, Lanxue Zhang, Chuan Zhou, Jia Wu, Shirui Pan:
VR-GNN: Variational Relation Vector Graph Neural Network for Modeling both Homophily and Heterophily. CoRR abs/2211.14523 (2022) - [i46]Yuanzhe Zhang, Shirui Pan, Jiangshan Yu:
TxAllo: Dynamic Transaction Allocation in Sharded Blockchain Systems. CoRR abs/2212.11584 (2022) - 2021
- [j57]Wei Lan, Mingrui Zhu, Qingfeng Chen, Jianwei Chen, Jin Ye, Jin Liu, Wei Peng, Shirui Pan:
Prediction of circRNA-miRNA Associations Based on Network Embedding. Complex. 2021: 6659695:1-6659695:10 (2021) - [j56]Luyao Ma, Qingyu Meng, Shirui Pan, Ariel Liebman:
PUMPNET: a deep learning approach to pump operation detection. Energy Inform. 4(1) (2021) - [j55]Tao Dai, Wenjun Yan, Kaiqi Zhang, Chen Qiu, Xiangmo Zhao, Shirui Pan:
Gated relational stacked denoising autoencoder with localized author embedding for global citation recommendation. Expert Syst. Appl. 184: 115359 (2021) - [j54]Erik Cambria, Shaoxiong Ji, Shirui Pan, Philip S. Yu:
Knowledge graph representation and reasoning. Neurocomputing 461: 494-496 (2021) - [j53]Yutian Hu, Fei Xiong, Shirui Pan, Xi Xiong, Liang Wang, Hongshu Chen:
Bayesian personalized ranking based on multiple-layer neighborhoods. Inf. Sci. 542: 156-176 (2021) - [j52]Man Wu, Shirui Pan, Xingquan Zhu:
OpenWGL: open-world graph learning for unseen class node classification. Knowl. Inf. Syst. 63(9): 2405-2430 (2021) - [j51]Miao Zhang, Huiqi Li, Shirui Pan, Xiaojun Chang, Chuan Zhou, Zongyuan Ge, Steven Weidong Su:
One-Shot Neural Architecture Search: Maximising Diversity to Overcome Catastrophic Forgetting. IEEE Trans. Pattern Anal. Mach. Intell. 43(9): 2921-2935 (2021) - [j50]Feng Xia, Ke Sun, Shuo Yu, Abdul Aziz, Liangtian Wan, Shirui Pan, Huan Liu:
Graph Learning: A Survey. IEEE Trans. Artif. Intell. 2(2): 109-127 (2021) - [j49]Shaoxiong Ji, Shirui Pan, Xue Li, Erik Cambria, Guodong Long, Zi Huang:
Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications. IEEE Trans. Comput. Soc. Syst. 8(1): 214-226 (2021) - [j48]Liang Wang, Zhiwen Yu, Fei Xiong, Dingqi Yang, Shirui Pan, Zheng Yan:
Influence Spread in Geo-Social Networks: A Multiobjective Optimization Perspective. IEEE Trans. Cybern. 51(5): 2663-2675 (2021) - [j47]Miao Zhang, Huiqi Li, Shirui Pan, Juan Lyu, Steve S. H. Ling, Steven W. Su:
Convolutional Neural Networks-Based Lung Nodule Classification: A Surrogate-Assisted Evolutionary Algorithm for Hyperparameter Optimization. IEEE Trans. Evol. Comput. 25(5): 869-882 (2021) - [j46]Hongshu Chen, Ximeng Wang, Shirui Pan, Fei Xiong:
Identify Topic Relations in Scientific Literature Using Topic Modeling. IEEE Trans. Engineering Management 68(5): 1232-1244 (2021) - [j45]Sheng Wan, Chen Gong, Ping Zhong, Shirui Pan, Guangyu Li, Jian Yang:
Hyperspectral Image Classification With Context-Aware Dynamic Graph Convolutional Network. IEEE Trans. Geosci. Remote. Sens. 59(1): 597-612 (2021) - [j44]Man Wu, Shirui Pan, Lan Du, Xingquan Zhu:
Learning Graph Neural Networks with Positive and Unlabeled Nodes. ACM Trans. Knowl. Discov. Data 15(6): 101:1-101:25 (2021) - [j43]Zonghan Wu, Shirui Pan, Fengwen Chen, Guodong Long, Chengqi Zhang, Philip S. Yu:
A Comprehensive Survey on Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 32(1): 4-24 (2021) - [c75]Sheng Wan, Shirui Pan, Jian Yang, Chen Gong:
Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning. AAAI 2021: 10049-10057 - [c74]Bang Wu, Shirui Pan, Xingliang Yuan:
Towards Extracting Graph Neural Network Models via Prediction Queries (Student Abstract). AAAI 2021: 15925-15926 - [c73]Shaoxiong Ji, Shirui Pan, Pekka Marttinen:
Medical Code Assignment with Gated Convolution and Note-Code Interaction. ACL/IJCNLP (Findings) 2021: 1034-1043 - [c72]Ming Jin, Yixin Liu, Yu Zheng, Lianhua Chi, Yuan-Fang Li, Shirui Pan:
ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning. CIKM 2021: 3122-3126 - [c71]He Zhang, Bang Wu, Xiangwen Yang, Chuan Zhou, Shuo Wang, Xingliang Yuan, Shirui Pan:
Projective Ranking: A Transferable Evasion Attack Method on Graph Neural Networks. CIKM 2021: 3617-3621 - [c70]Jiaxin Ju, Ming Liu, Huan Yee Koh, Yuan Jin, Lan Du, Shirui Pan:
Leveraging Information Bottleneck for Scientific Document Summarization. EMNLP (Findings) 2021: 4091-4098 - [c69]Fatemeh Shiri, Teresa Wang, Shirui Pan, Xiaojun Chang, Yuan-Fang Li, Reza Haffari, Van Nguyen, Shuang Yu:
Toward the Automated Construction of Probabilistic Knowledge Graphs for the Maritime Domain. FUSION 2021: 1-8 - [c68]Renqi Jia, Xiaofei Zhou, Linhua Dong, Shirui Pan:
Hypergraph Convolutional Network for Group Recommendation. ICDM 2021: 260-269 - [c67]Bang Wu, Xiangwen Yang, Shirui Pan, Xingliang Yuan:
Adapting Membership Inference Attacks to GNN for Graph Classification: Approaches and Implications. ICDM 2021: 1421-1426 - [c66]Miao Zhang, Steven W. Su, Shirui Pan, Xiaojun Chang, M. Ehsan Abbasnejad, Reza Haffari:
iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients. ICML 2021: 12557-12566 - [c65]Ming Jin, Yizhen Zheng, Yuan-Fang Li, Chen Gong, Chuan Zhou, Shirui Pan:
Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning. IJCAI 2021: 1477-1483 - [c64]Renqi Jia, Xu Bai, Xiaofei Zhou, Shirui Pan:
A Self-Supervised Learning Framework for Sequential Recommendation. IJCNN 2021: 1-8 - [c63]Sheng Wan, Yibing Zhan, Liu Liu, Baosheng Yu, Shirui Pan, Chen Gong:
Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels. NeurIPS 2021: 6316-6327 - [c62]Bahareh Fatemi, Soheila Molaei, Hadi Zare, Shirui Pan:
Manifold Approximation and Projection by Maximizing Graph Information. PAKDD (3) 2021: 128-140 - [c61]Yizhen Zheng, Vincent C. S. Lee, Zonghan Wu, Shirui Pan:
Heterogeneous Graph Attention Network for Small and Medium-Sized Enterprises Bankruptcy Prediction. PAKDD (1) 2021: 140-151 - [c60]