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Understanding and Improving Deep Graph Neural Networks: A Probabilistic Graphical Model Perspective


Jan 25, 2023
Jiayuan Chen, Xiang Zhang, Yinfei Xu, Tianli Zhao, Renjie Xie, Wei Xu

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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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Learning to See Through with Events


Dec 05, 2022
Lei Yu, Xiang Zhang, Wei Liao, Wen Yang, Gui-Song Xia

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* Accepted by IEEE TPAMI. arXiv admin note: text overlap with arXiv:2103.02376 

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FIXED: Frustratingly Easy Domain Generalization with Mixup


Nov 07, 2022
Wang Lu, Jindong Wang, Han Yu, Lei Huang, Xiang Zhang, Yiqiang Chen, Xing Xie

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* Technical report; code for DG at: https://github.com/jindongwang/transferlearning/tree/master/code/DeepDG 

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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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HP-GMN: Graph Memory Networks for Heterophilous Graphs


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

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Multimodal Learning with Channel-Mixing and Masked Autoencoder on Facial Action Unit Detection


Sep 25, 2022
Xiang Zhang, Huiyuan Yang, Taoyue Wang, Xiaotian Li, Lijun Yin

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Omni-directional Pathloss Measurement Based on Virtual Antenna Array with Directional Antennas


Aug 07, 2022
Mengting Li, Fengchun Zhang, Xiang Zhang, Yejian Lyu, Wei Fan

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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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