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Chuan Zhou

ID-MixGCL: Identity Mixup for Graph Contrastive Learning

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

* 9 pages, 6 figures

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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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* Accepted by Proceedings of the ACM Web Conference 2023 (WWW '23)

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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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* Regular paper accepted by the 22nd IEEE International Conference on Data Mining (ICDM 2022)

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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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* 24 pages, 3 figures

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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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* Accepted to SIGKDD'22

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Semi-Riemannian Graph Convolutional Networks

Jun 06, 2021
Bo Xiong, Shichao Zhu, Nico Potyka, Shirui Pan, Chuan Zhou, Steffen Staab

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* 23 pages, 5 figures, submitted to NeurIPS 2021

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