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Self-Explainable Graph Neural Networks for Link Prediction


May 21, 2023
Huaisheng Zhu, Dongsheng Luo, Xianfeng Tang, Junjie Xu, Hui Liu, Suhang Wang

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Counterfactual Learning on Graphs: A Survey


Apr 03, 2023
Zhimeng Guo, Teng Xiao, Charu Aggarwal, Hui Liu, Suhang Wang

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Unnoticeable Backdoor Attacks on Graph Neural Networks


Feb 11, 2023
Enyan Dai, Minhua Lin, Xiang Zhang, Suhang Wang

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Faithful and Consistent Graph Neural Network Explanations with Rationale Alignment


Jan 07, 2023
Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang

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* Under review. arXiv admin note: substantial text overlap with arXiv:2205.13733 

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TopoImb: Toward Topology-level Imbalance in Learning from Graphs


Dec 16, 2022
Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang

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* Accepted by LOG22 

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HP-GMN: Graph Memory Networks for Heterophilous Graphs


Oct 15, 2022
Junjie Xu, Enyan Dai, Xiang Zhang, Suhang Wang

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Towards Prototype-Based Self-Explainable Graph Neural Network


Oct 05, 2022
Enyan Dai, Suhang Wang

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Link Prediction on Heterophilic Graphs via Disentangled Representation Learning


Aug 03, 2022
Shijie Zhou, Zhimeng Guo, Charu Aggarwal, Xiang Zhang, Suhang Wang

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Synthetic Over-sampling for Imbalanced Node Classification with Graph Neural Networks


Jun 10, 2022
Tianxiang Zhao, Xiang Zhang, Suhang Wang

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* arXiv admin note: substantial text overlap with arXiv:2103.08826 

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Decoupled Self-supervised Learning for Non-Homophilous Graphs


Jun 07, 2022
Teng Xiao, Zhengyu Chen, Zhimeng Guo, Zeyang Zhuang, Suhang Wang

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* Preprint 

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