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Chuan Zhou

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GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels

Oct 26, 2023
Xin Zheng, Miao Zhang, Chunyang Chen, Soheila Molaei, Chuan Zhou, Shirui Pan

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ID-MixGCL: Identity Mixup for Graph Contrastive Learning

Apr 20, 2023
Gehang Zhang, Bowen Yu, Jiangxia Cao, Xinghua Zhang, Tingwen Liu, Chuan Zhou

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Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs

Feb 23, 2023
Xin Zheng, Miao Zhang, Chunyang Chen, Qin Zhang, Chuan Zhou, Shirui Pan

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A Comprehensive Survey of Graph-level Learning

Jan 14, 2023
Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Quan Z. Sheng, Shan Xue, Chuan Zhou, Charu Aggarwal, Hao Peng, Wenbin Hu, Edwin Hancock, Pietro Li`o

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DAGAD: Data Augmentation for Graph Anomaly Detection

Oct 18, 2022
Fanzhen Liu, Xiaoxiao Ma, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Chuan Zhou, Hao Peng, Quan Z. Sheng, Charu C. Aggarwal

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Geometry Contrastive Learning on Heterogeneous Graphs

Jun 25, 2022
Shichao Zhu, Chuan Zhou, Anfeng Cheng, Shirui Pan, Shuaiqiang Wang, Dawei Yin, Bin Wang

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Ultrahyperbolic Knowledge Graph Embeddings

Jun 01, 2022
Bo Xiong, Shichao Zhu, Mojtaba Nayyeri, Chengjin Xu, Shirui Pan, Chuan Zhou, Steffen Staab

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Graph-level Neural Networks: Current Progress and Future Directions

May 31, 2022
Ge Zhang, Jia Wu, Jian Yang, Shan Xue, Wenbin Hu, Chuan Zhou, Hao Peng, Quan Z. Sheng, Charu Aggarwal

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Projective Ranking-based GNN Evasion Attacks

Feb 25, 2022
He Zhang, Xingliang Yuan, Chuan Zhou, Shirui Pan

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