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dblp: Dingshuo Chen https://dblp.org/pid/289/7535.html dblp person page RSS feed Mon, 07 Oct 2024 02:29:08 +0200 en-US daily 1 released under the CC0 1.0 license dblp@dagstuhl.de (dblp team) dblp@dagstuhl.de (dblp team) Computers/Computer_Science/Publications/Bibliographies http://www.rssboard.org/rss-specification https://dblp.org/img/logo.144x51.pngdblp: Dingshuo Chenhttps://dblp.org/pid/289/7535.html14451 Molecular Contrastive Pretraining with Collaborative Featurizations.https://doi.org/10.1021/acs.jcim.3c01468Yanqiao Zhu, Dingshuo Chen, Yuanqi Du, Yingze Wang, Qiang Liu, Shu Wu

:
Molecular Contrastive Pretraining with Collaborative Featurizations. J. Chem. Inf. Model. 64(4): 1112-1122 (2024)]]>https://dblp.org/rec/journals/jcisd/ZhuCDWLW24Thu, 01 Feb 2024 00:00:00 +0100 Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization.https://doi.org/10.48550/arXiv.2409.01081Dingshuo Chen, Zhixun Li, Yuyan Ni, Guibin Zhang, Ding Wang, Qiang Liu, Shu Wu, Jeffrey Xu Yu, Liang Wang:
Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization. CoRR abs/2409.01081 (2024)]]>https://dblp.org/rec/journals/corr/abs-2409-01081Mon, 01 Jan 2024 00:00:00 +0100 Uncovering Neural Scaling Laws in Molecular Representation Learning.http://papers.nips.cc/paper_files/paper/2023/hash/052e22cfdd344c79634f7ec76fa03e22-Abstract-Datasets_and_Benchmarks.htmlDingshuo Chen, Yanqiao Zhu, Jieyu Zhang, Yuanqi Du, Zhixun Li, Qiang Liu, Shu Wu, Liang Wang:
Uncovering Neural Scaling Laws in Molecular Representation Learning. NeurIPS 2023]]>https://dblp.org/rec/conf/nips/Chen0ZDLLW023Sun, 01 Jan 2023 00:00:00 +0100 GSLB: The Graph Structure Learning Benchmark.http://papers.nips.cc/paper_files/paper/2023/hash/60bc87f3cf5257579435d92ec12c761b-Abstract-Datasets_and_Benchmarks.htmlZhixun Li, Xin Sun, Yifan Luo, Yanqiao Zhu, Dingshuo Chen, Yingtao Luo, Xiangxin Zhou, Qiang Liu, Shu Wu, Liang Wang, Jeffrey Xu Yu:
GSLB: The Graph Structure Learning Benchmark. NeurIPS 2023]]>https://dblp.org/rec/conf/nips/LiSL0CLZLWWY23Sun, 01 Jan 2023 00:00:00 +0100 Uncovering Neural Scaling Laws in Molecular Representation Learning.https://doi.org/10.48550/arXiv.2309.15123Dingshuo Chen, Yanqiao Zhu, Jieyu Zhang, Yuanqi Du, Zhixun Li, Qiang Liu, Shu Wu, Liang Wang:
Uncovering Neural Scaling Laws in Molecular Representation Learning. CoRR abs/2309.15123 (2023)]]>https://dblp.org/rec/journals/corr/abs-2309-15123Sun, 01 Jan 2023 00:00:00 +0100 GSLB: The Graph Structure Learning Benchmark.https://doi.org/10.48550/arXiv.2310.05174Zhixun Li, Liang Wang, Xin Sun, Yifan Luo, Yanqiao Zhu, Dingshuo Chen, Yingtao Luo, Xiangxin Zhou, Qiang Liu, Shu Wu, Liang Wang, Jeffrey Xu Yu:
GSLB: The Graph Structure Learning Benchmark. CoRR abs/2310.05174 (2023)]]>https://dblp.org/rec/journals/corr/abs-2310-05174Sun, 01 Jan 2023 00:00:00 +0100 Learning Graph Structures With Transformer for Multivariate Time-Series Anomaly Detection in IoT.https://doi.org/10.1109/JIOT.2021.3100509Zekai Chen

, Dingshuo Chen

, Xiao Zhang

, Zixuan Yuan, Xiuzhen Cheng

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Learning Graph Structures With Transformer for Multivariate Time-Series Anomaly Detection in IoT. IEEE Internet Things J. 9(12): 9179-9189 (2022)]]>https://dblp.org/rec/journals/iotj/ChenCZYC22Sat, 01 Jan 2022 00:00:00 +0100 The Devil is in the Conflict: Disentangled Information Graph Neural Networks for Fraud Detection.https://doi.org/10.1109/ICDM54844.2022.00131Zhixun Li, Dingshuo Chen, Qiang Liu, Shu Wu:
The Devil is in the Conflict: Disentangled Information Graph Neural Networks for Fraud Detection. ICDM 2022: 1059-1064]]>https://dblp.org/rec/conf/icdm/LiC0W22Sat, 01 Jan 2022 00:00:00 +0100 Improving Molecular Pretraining with Complementary Featurizations.https://doi.org/10.48550/arXiv.2209.15101Yanqiao Zhu, Dingshuo Chen, Yuanqi Du, Yingze Wang, Qiang Liu, Shu Wu:
Improving Molecular Pretraining with Complementary Featurizations. CoRR abs/2209.15101 (2022)]]>https://dblp.org/rec/journals/corr/abs-2209-15101Sat, 01 Jan 2022 00:00:00 +0100 The Devil is in the Conflict: Disentangled Information Graph Neural Networks for Fraud Detection.https://doi.org/10.48550/arXiv.2210.12384Zhixun Li, Dingshuo Chen, Qiang Liu, Shu Wu:
The Devil is in the Conflict: Disentangled Information Graph Neural Networks for Fraud Detection. CoRR abs/2210.12384 (2022)]]>https://dblp.org/rec/journals/corr/abs-2210-12384Sat, 01 Jan 2022 00:00:00 +0100 Learning Graph Structures with Transformer for Multivariate Time Series Anomaly Detection in IoT.https://arxiv.org/abs/2104.03466Zekai Chen, Dingshuo Chen, Zixuan Yuan, Xiuzhen Cheng, Xiao Zhang:
Learning Graph Structures with Transformer for Multivariate Time Series Anomaly Detection in IoT. CoRR abs/2104.03466 (2021)]]>https://dblp.org/rec/journals/corr/abs-2104-03466Fri, 01 Jan 2021 00:00:00 +0100