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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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Personalized Federated Learning via Heterogeneous Modular Networks


Oct 26, 2022
Tianchun Wan, Wei Cheng, Dongsheng Luo, Wenchao Yu, Jingchao Ni, Liang Tong, Haifeng Chen, Xiang Zhang

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* IEEE International Conference on Data Mining, 2022 

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On Consistency in Graph Neural Network Interpretation


May 27, 2022
Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang

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* Under review 

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InfoGCL: Information-Aware Graph Contrastive Learning


Oct 28, 2021
Dongkuan Xu, Wei Cheng, Dongsheng Luo, Haifeng Chen, Xiang Zhang

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* NeurIPS 2021 

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Unsupervised Document Embedding via Contrastive Augmentation


Mar 26, 2021
Dongsheng Luo, Wei Cheng, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Bo Zong, Yanchi Liu, Zhengzhang Chen, Dongjin Song, Haifeng Chen, Xiang Zhang

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* 13 pages; under review 

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Attentive Social Recommendation: Towards User And Item Diversities


Nov 15, 2020
Dongsheng Luo, Yuchen Bian, Xiang Zhang, Jun Huan

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* 8 Pages 

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Learning to Drop: Robust Graph Neural Network via Topological Denoising


Nov 13, 2020
Dongsheng Luo, Wei Cheng, Wenchao Yu, Bo Zong, Jingchao Ni, Haifeng Chen, Xiang Zhang

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* WSDM 2021 

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Parameterized Explainer for Graph Neural Network


Nov 09, 2020
Dongsheng Luo, Wei Cheng, Dongkuan Xu, Wenchao Yu, Bo Zong, Haifeng Chen, Xiang Zhang

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* NeurIPS 2020 

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