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2020 – today
- 2024
[j3]Lianghao Xia
, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo:
Multi-Behavior Graph Neural Networks for Recommender System. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5473-5487 (2024)- [c47]Qianru Zhang, Lianghao Xia, Xuheng Cai, Siu-Ming Yiu, Chao Huang, Christian S. Jensen:
Graph Augmentation for Recommendation. ICDE 2024: 557-569 - [c46]Zhonghang Li, Lianghao Xia, Yong Xu, Chao Huang:
FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction. ICML 2024 - [c45]Zhonghang Li, Lianghao Xia, Jiabin Tang, Yong Xu, Lei Shi, Long Xia, Dawei Yin, Chao Huang:
UrbanGPT: Spatio-Temporal Large Language Models. KDD 2024: 5351-5362 - [c44]Yangqin Jiang, Lianghao Xia, Wei Wei, Da Luo, Kangyi Lin, Chao Huang:
DiffMM: Multi-Modal Diffusion Model for Recommendation. ACM Multimedia 2024: 7591-7599 - [c43]Yuxi Liu, Lianghao Xia, Chao Huang:
SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation. SIGIR 2024: 1609-1618 - [c42]Yangqin Jiang, Yuhao Yang, Lianghao Xia, Chao Huang:
DiffKG: Knowledge Graph Diffusion Model for Recommendation. WSDM 2024: 313-321 - [c41]Xubin Ren, Lianghao Xia, Yuhao Yang, Wei Wei, Tianle Wang, Xuheng Cai, Chao Huang:
SSLRec: A Self-Supervised Learning Framework for Recommendation. WSDM 2024: 567-575 - [c40]Wei Wei, Jiabin Tang, Lianghao Xia, Yangqin Jiang, Chao Huang:
PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning. WWW 2024: 3217-3228 - [c39]Xubin Ren, Wei Wei, Lianghao Xia, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang:
Representation Learning with Large Language Models for Recommendation. WWW 2024: 3464-3475 - [c38]Yuhao Yang, Lianghao Xia, Da Luo, Kangyi Lin, Chao Huang:
GraphPro: Graph Pre-training and Prompt Learning for Recommendation. WWW 2024: 3690-3699 - [i55]Zirui Guo, Lianghao Xia, Yanhua Yu, Yuling Wang, Zixuan Yang, Wei Wei, Liang Pang, Tat-Seng Chua, Chao Huang:
GraphEdit: Large Language Models for Graph Structure Learning. CoRR abs/2402.15183 (2024) - [i54]Wei Wei, Jiabin Tang, Yangqin Jiang, Lianghao Xia, Chao Huang:
PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning. CoRR abs/2402.17188 (2024) - [i53]Zhonghang Li, Lianghao Xia, Jiabin Tang, Yong Xu, Lei Shi, Long Xia, Dawei Yin, Chao Huang:
UrbanGPT: Spatio-Temporal Large Language Models. CoRR abs/2403.00813 (2024) - [i52]Lianghao Xia, Ben Kao, Chao Huang:
OpenGraph: Towards Open Graph Foundation Models. CoRR abs/2403.01121 (2024) - [i51]Qianru Zhang, Lianghao Xia, Xuheng Cai, Siu-Ming Yiu, Chao Huang, Christian S. Jensen:
Graph Augmentation for Recommendation. CoRR abs/2403.16656 (2024) - [i50]Xubin Ren, Wei Wei, Lianghao Xia, Chao Huang:
A Comprehensive Survey on Self-Supervised Learning for Recommendation. CoRR abs/2404.03354 (2024) - [i49]Zhonghang Li, Lianghao Xia, Yong Xu, Chao Huang:
FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction. CoRR abs/2405.17898 (2024) - [i48]Yuxi Liu, Lianghao Xia, Chao Huang:
SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation. CoRR abs/2405.20878 (2024) - [i47]Zongwei Li, Lianghao Xia, Chao Huang:
RecDiff: Diffusion Model for Social Recommendation. CoRR abs/2406.01629 (2024) - [i46]Yangqin Jiang, Lianghao Xia, Wei Wei, Da Luo, Kangyi Lin, Chao Huang:
DiffMM: Multi-Modal Diffusion Model for Recommendation. CoRR abs/2406.11781 (2024) - [i45]Lianghao Xia, Chao Huang:
AnyGraph: Graph Foundation Model in the Wild. CoRR abs/2408.10700 (2024) - [i44]Jiabin Tang, Wei Wei, Lianghao Xia, Chao Huang:
EasyST: A Simple Framework for Spatio-Temporal Prediction. CoRR abs/2409.06748 (2024) - 2023
- [j2]Lianghao Xia, Chao Huang, Yong Xu, Jian Pei:
Multi-Behavior Sequential Recommendation With Temporal Graph Transformer. IEEE Trans. Knowl. Data Eng. 35(6): 6099-6112 (2023) - [c37]Xuheng Cai, Lianghao Xia, Xubin Ren, Chao Huang:
How Expressive are Graph Neural Networks in Recommendation? CIKM 2023: 173-182 - [c36]Jiabin Tang, Lianghao Xia, Jie Hu, Chao Huang:
Spatio-Temporal Meta Contrastive Learning. CIKM 2023: 2412-2421 - [c35]Jiabin Tang, Lianghao Xia, Chao Huang:
Explainable Spatio-Temporal Graph Neural Networks. CIKM 2023: 2432-2441 - [c34]Lianghao Xia, Yizhen Shao, Chao Huang, Yong Xu, Huance Xu, Jian Pei:
Disentangled Graph Social Recommendation. ICDE 2023: 2332-2344 - [c33]Xuheng Cai, Chao Huang, Lianghao Xia, Xubin Ren:
LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation. ICLR 2023 - [c32]Qianru Zhang, Chao Huang, Lianghao Xia, Zheng Wang, Siu Ming Yiu, Ruihua Han:
Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation. ICML 2023: 41151-41163 - [c31]Tianle Wang, Lianghao Xia, Chao Huang:
Denoised Self-Augmented Learning for Social Recommendation. IJCAI 2023: 2324-2331 - [c30]Yuhao Yang, Chao Huang, Lianghao Xia, Chunzhen Huang:
Knowledge Graph Self-Supervised Rationalization for Recommendation. KDD 2023: 3046-3056 - [c29]Zhonghang Li, Lianghao Xia, Yong Xu, Chao Huang:
GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks. NeurIPS 2023 - [c28]Wei Wei, Lianghao Xia, Chao Huang:
Multi-Relational Contrastive Learning for Recommendation. RecSys 2023: 338-349 - [c27]Yaowen Ye, Lianghao Xia, Chao Huang:
Graph Masked Autoencoder for Sequential Recommendation. SIGIR 2023: 321-330 - [c26]Xubin Ren, Lianghao Xia, Jiashu Zhao, Dawei Yin, Chao Huang:
Disentangled Contrastive Collaborative Filtering. SIGIR 2023: 1137-1146 - [c25]Chaoliu Li, Lianghao Xia, Xubin Ren, Yaowen Ye, Yong Xu, Chao Huang:
Graph Transformer for Recommendation. SIGIR 2023: 1680-1689 - [c24]Mengru Chen, Chao Huang, Lianghao Xia, Wei Wei, Yong Xu, Ronghua Luo:
Heterogeneous Graph Contrastive Learning for Recommendation. WSDM 2023: 544-552 - [c23]Lianghao Xia, Chao Huang, Jiao Shi, Yong Xu:
Graph-less Collaborative Filtering. WWW 2023: 17-27 - [c22]Qianru Zhang, Chao Huang, Lianghao Xia, Zheng Wang, Zhonghang Li, Siu-Ming Yiu:
Automated Spatio-Temporal Graph Contrastive Learning. WWW 2023: 295-305 - [c21]Wei Wei, Chao Huang, Lianghao Xia, Chuxu Zhang:
Multi-Modal Self-Supervised Learning for Recommendation. WWW 2023: 790-800 - [c20]Lianghao Xia, Chao Huang, Chunzhen Huang, Kangyi Lin, Tao Yu, Ben Kao:
Automated Self-Supervised Learning for Recommendation. WWW 2023: 992-1002 - [c19]Yuhao Yang, Chao Huang, Lianghao Xia, Chunzhen Huang, Da Luo, Kangyi Lin:
Debiased Contrastive Learning for Sequential Recommendation. WWW 2023: 1063-1073 - [i43]Xuheng Cai, Chao Huang, Lianghao Xia, Xubin Ren:
LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation. CoRR abs/2302.08191 (2023) - [i42]Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo:
Multi-Behavior Graph Neural Networks for Recommender System. CoRR abs/2302.08678 (2023) - [i41]Wei Wei, Chao Huang, Lianghao Xia, Chuxu Zhang:
Multi-Modal Self-Supervised Learning for Recommendation. CoRR abs/2302.10632 (2023) - [i40]Mengru Chen, Chao Huang, Lianghao Xia, Wei Wei, Yong Xu, Ronghua Luo:
Heterogeneous Graph Contrastive Learning for Recommendation. CoRR abs/2303.00995 (2023) - [i39]Lianghao Xia, Chao Huang, Chunzhen Huang, Kangyi Lin, Tao Yu, Ben Kao:
Automated Self-Supervised Learning for Recommendation. CoRR abs/2303.07797 (2023) - [i38]Lianghao Xia, Yizhen Shao, Chao Huang, Yong Xu, Huance Xu, Jian Pei:
Disentangled Graph Social Recommendation. CoRR abs/2303.07810 (2023) - [i37]Lianghao Xia, Chao Huang, Jiao Shi, Yong Xu:
Graph-less Collaborative Filtering. CoRR abs/2303.08537 (2023) - [i36]Yuhao Yang, Chao Huang, Lianghao Xia, Chunzhen Huang, Da Luo, Kangyi Lin:
Debiased Contrastive Learning for Sequential Recommendation. CoRR abs/2303.11780 (2023) - [i35]Xubin Ren, Lianghao Xia, Jiashu Zhao, Dawei Yin, Chao Huang:
Disentangled Contrastive Collaborative Filtering. CoRR abs/2305.02759 (2023) - [i34]Qianru Zhang, Chao Huang, Lianghao Xia, Zheng Wang, Zhonghang Li, Siu-Ming Yiu:
Automated Spatio-Temporal Graph Contrastive Learning. CoRR abs/2305.03920 (2023) - [i33]Yaowen Ye, Lianghao Xia, Chao Huang:
Graph Masked Autoencoder for Sequential Recommendation. CoRR abs/2305.04619 (2023) - [i32]Yangqin Jiang, Chao Huang, Lianghao Xia:
Adaptive Graph Contrastive Learning for Recommendation. CoRR abs/2305.10837 (2023) - [i31]Tianle Wang, Lianghao Xia, Chao Huang:
Denoised Self-Augmented Learning for Social Recommendation. CoRR abs/2305.12685 (2023) - [i30]Chaoliu Li, Lianghao Xia, Xubin Ren, Yaowen Ye, Yong Xu, Chao Huang:
Graph Transformer for Recommendation. CoRR abs/2306.02330 (2023) - [i29]Qianru Zhang, Chao Huang, Lianghao Xia, Zheng Wang, Siu-Ming Yiu, Ruihua Han:
Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation. CoRR abs/2306.10683 (2023) - [i28]Yuhao Yang, Chao Huang, Lianghao Xia, Chunzhen Huang:
Knowledge Graph Self-Supervised Rationalization for Recommendation. CoRR abs/2307.02759 (2023) - [i27]Xubin Ren, Lianghao Xia, Yuhao Yang, Wei Wei, Tianle Wang, Xuheng Cai, Chao Huang:
SSLRec: A Self-Supervised Learning Library for Recommendation. CoRR abs/2308.05697 (2023) - [i26]Xuheng Cai, Lianghao Xia, Xubin Ren, Chao Huang:
How Expressive are Graph Neural Networks in Recommendation? CoRR abs/2308.11127 (2023) - [i25]Wei Wei, Lianghao Xia, Chao Huang:
Multi-Relational Contrastive Learning for Recommendation. CoRR abs/2309.01103 (2023) - [i24]Xubin Ren, Wei Wei, Lianghao Xia, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang:
Representation Learning with Large Language Models for Recommendation. CoRR abs/2310.15950 (2023) - [i23]Jiabin Tang, Lianghao Xia, Chao Huang:
Explainable Spatio-Temporal Graph Neural Networks. CoRR abs/2310.17149 (2023) - [i22]Jiabin Tang, Lianghao Xia, Jie Hu, Chao Huang:
Spatio-Temporal Meta Contrastive Learning. CoRR abs/2310.17678 (2023) - [i21]Zhonghang Li, Lianghao Xia, Yong Xu, Chao Huang:
GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks. CoRR abs/2311.04245 (2023) - [i20]Yuhao Yang, Lianghao Xia, Da Luo, Kangyi Lin, Chao Huang:
Graph Pre-training and Prompt Learning for Recommendation. CoRR abs/2311.16716 (2023) - [i19]Yangqin Jiang, Yuhao Yang, Lianghao Xia, Chao Huang:
DiffKG: Knowledge Graph Diffusion Model for Recommendation. CoRR abs/2312.16890 (2023) - 2022
- [j1]Lianghao Xia, Chao Huang, Yong Xu, Huance Xu, Xiang Li, Weiguo Zhang:
Collaborative Reflection-Augmented Autoencoder Network for Recommender Systems. ACM Trans. Inf. Syst. 40(1): 10:1-10:22 (2022) - [c18]Chao Huang, Lianghao Xia, Xiang Wang, Xiangnan He, Dawei Yin:
Self-Supervised Learning for Recommendation. CIKM 2022: 5136-5139 - [c17]Zhonghang Li, Chao Huang, Lianghao Xia, Yong Xu, Jian Pei:
Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction. ICDE 2022: 2984-2996 - [c16]Lianghao Xia, Chao Huang, Chuxu Zhang:
Self-Supervised Hypergraph Transformer for Recommender Systems. KDD 2022: 2100-2109 - [c15]Yuhao Yang, Chao Huang, Lianghao Xia, Yuxuan Liang, Yanwei Yu, Chenliang Li:
Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation. KDD 2022: 2263-2274 - [c14]Lianghao Xia, Chao Huang, Yong Xu, Jiashu Zhao, Dawei Yin, Jimmy X. Huang:
Hypergraph Contrastive Collaborative Filtering. SIGIR 2022: 70-79 - [c13]Yuhao Yang, Chao Huang, Lianghao Xia, Chenliang Li:
Knowledge Graph Contrastive Learning for Recommendation. SIGIR 2022: 1434-1443 - [c12]Wei Wei, Chao Huang, Lianghao Xia, Yong Xu, Jiashu Zhao, Dawei Yin:
Contrastive Meta Learning with Behavior Multiplicity for Recommendation. WSDM 2022: 1120-1128 - [i18]Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Mengyin Lu, Liefeng Bo:
Multi-Behavior Enhanced Recommendation with Cross-Interaction Collaborative Relation Modeling. CoRR abs/2201.02307 (2022) - [i17]Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo, Xiyue Zhang, Tianyi Chen:
Spatial-Temporal Sequential Hypergraph Network for Crime Prediction. CoRR abs/2201.02435 (2022) - [i16]Lianghao Xia, Chao Huang, Yong Xu, Huance Xu, Xiang Li, Weiguo Zhang:
Collaborative Reflection-Augmented Autoencoder Network for Recommender Systems. CoRR abs/2201.03158 (2022) - [i15]Wei Wei, Chao Huang, Lianghao Xia, Yong Xu, Jiashu Zhao, Dawei Yin:
Contrastive Meta Learning with Behavior Multiplicity for Recommendation. CoRR abs/2202.08523 (2022) - [i14]Zhonghang Li, Chao Huang, Lianghao Xia, Yong Xu, Jian Pei:
Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction. CoRR abs/2204.08587 (2022) - [i13]Lianghao Xia, Chao Huang, Yong Xu, Jiashu Zhao, Dawei Yin, Jimmy Xiangji Huang:
Hypergraph Contrastive Collaborative Filtering. CoRR abs/2204.12200 (2022) - [i12]Yuhao Yang, Chao Huang, Lianghao Xia, Chenliang Li:
Knowledge Graph Contrastive Learning for Recommendation. CoRR abs/2205.00976 (2022) - [i11]Lianghao Xia, Chao Huang, Yong Xu, Jian Pei:
Multi-Behavior Sequential Recommendation with Temporal Graph Transformer. CoRR abs/2206.02687 (2022) - [i10]Yuhao Yang, Chao Huang, Lianghao Xia, Yuxuan Liang, Yanwei Yu, Chenliang Li:
Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation. CoRR abs/2207.05584 (2022) - [i9]Lianghao Xia, Chao Huang, Chuxu Zhang:
Self-Supervised Hypergraph Transformer for Recommender Systems. CoRR abs/2207.14338 (2022) - 2021
- [c11]Chao Huang, Huance Xu, Yong Xu, Peng Dai, Lianghao Xia, Mengyin Lu, Liefeng Bo, Hao Xing, Xiaoping Lai, Yanfang Ye:
Knowledge-aware Coupled Graph Neural Network for Social Recommendation. AAAI 2021: 4115-4122 - [c10]Chao Huang, Jiahui Chen, Lianghao Xia, Yong Xu, Peng Dai, Yanqing Chen, Liefeng Bo, Jiashu Zhao, Jimmy Xiangji Huang:
Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation. AAAI 2021: 4123-4130 - [c9]Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Xiyue Zhang, Hongsheng Yang, Jian Pei, Liefeng Bo:
Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation. AAAI 2021: 4486-4493 - [c8]Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia, Peng Dai, Liefeng Bo, Junbo Zhang, Yu Zheng:
Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network. AAAI 2021: 15008-15015 - [c7]Xiaoling Long, Chao Huang, Yong Xu, Huance Xu, Peng Dai, Lianghao Xia, Liefeng Bo:
Social Recommendation with Self-Supervised Metagraph Informax Network. CIKM 2021: 1160-1169 - [c6]Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Mengyin Lu, Liefeng Bo:
Multi-Behavior Enhanced Recommendation with Cross-Interaction Collaborative Relation Modeling. ICDE 2021: 1931-1936 - [c5]Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo, Xiyue Zhang, Tianyi Chen:
Spatial-Temporal Sequential Hypergraph Network for Crime Prediction with Dynamic Multiplex Relation Learning. IJCAI 2021: 1631-1637 - [c4]Lianghao Xia, Yong Xu, Chao Huang, Peng Dai, Liefeng Bo:
Graph Meta Network for Multi-Behavior Recommendation. SIGIR 2021: 757-766 - [i8]Xiaoling Long, Chao Huang, Yong Xu, Huance Xu, Peng Dai, Lianghao Xia, Liefeng Bo:
Social Recommendation with Self-Supervised Metagraph Informax Network. CoRR abs/2110.03958 (2021) - [i7]Lianghao Xia, Yong Xu, Chao Huang, Peng Dai, Liefeng Bo:
Graph Meta Network for Multi-Behavior Recommendation. CoRR abs/2110.03969 (2021) - [i6]Chao Huang, Huance Xu, Yong Xu, Peng Dai, Lianghao Xia, Mengyin Lu, Liefeng Bo, Hao Xing, Xiaoping Lai, Yanfang Ye:
Knowledge-aware Coupled Graph Neural Network for Social Recommendation. CoRR abs/2110.03987 (2021) - [i5]Chao Huang, Jiahui Chen, Lianghao Xia, Yong Xu, Peng Dai, Yanqing Chen, Liefeng Bo, Jiashu Zhao, Jimmy Xiangji Huang:
Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation. CoRR abs/2110.03996 (2021) - [i4]Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Xiyue Zhang, Hongsheng Yang, Jian Pei, Liefeng Bo:
Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation. CoRR abs/2110.04000 (2021) - [i3]Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Bo Zhang, Liefeng Bo:
Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network. CoRR abs/2110.04002 (2021) - [i2]Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia, Peng Dai, Liefeng Bo, Junbo Zhang, Yu Zheng:
Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network. CoRR abs/2110.04038 (2021) - [i1]Huance Xu, Chao Huang, Yong Xu, Lianghao Xia, Hao Xing, Dawei Yin:
Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks. CoRR abs/2110.04039 (2021) - 2020
- [c3]Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia:
Spatial-Temporal Convolutional Graph Attention Networks for Citywide Traffic Flow Forecasting. CIKM 2020: 1853-1862 - [c2]Huance Xu, Chao Huang, Yong Xu, Lianghao Xia, Hao Xing, Dawei Yin:
Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks. ICDM 2020: 701-710 - [c1]Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Bo Zhang, Liefeng Bo:
Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network. SIGIR 2020: 2397-2406
Coauthor Index
[j3] [c47] [c46] [c45] [c43] [c42] [c41] [c40] [c39] [c38] [i55] [i54] [i53] [i52] [i51] [i50] [i49] [i48] [i47] [i46] [i45] [i44] [j2] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [i43] [i42] [i41] [i40] [i39] [i38] [i37] [i36] [i35] [i34] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [j1] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [i8] [i7] [i6] [i5] [i4] [i3] [i2] [i1] [c3] [c2] [c1]
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