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Title

Position-aware Structure Learning for Graph Topology-imbalance by
Relieving Under-reaching and Over-squashing

Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing

International Conference on Information and Knowledge Management (CIKM), 2022

17 August 2022

Hao Peng

Philip S. Yu

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Papers citing "Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing"

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Title
Harnessing LLM for Noise-Robust Cognitive Diagnosis in Web-Based Intelligent Education Systems Guixian Zhang Guan Yuan Ziqi Xu Yanmei Zhang Jing Ren Zhenyun Deng Debo Cheng 147 0 0 05 Oct 2025
Mitigating Message Imbalance in Fraud Detection with Dual-View Graph Representation LearningInternational Joint Conference on Artificial Intelligence (IJCAI), 2025 Yudan Song Yuecen Wei Yuhang Lu Qingyun Sun Minglai Shao Li-e Wang Chunming Hu Xianxian Li Xingcheng Fu 149 0 0 09 Jul 2025
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Conditional Shift-Robust Conformal Prediction for Graph Neural Network Akansha Agrawal UQCV 524 1 0 20 May 2024
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD ChallengesIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024 Wei Ju Siyu Yi Yifan Wang Zhiping Xiao Zhengyan Mao ... Nan Yin Senzhang Wang Xinwang Liu Philip S. Yu Ming Zhang AI4CE 269 73 0 07 Mar 2024
DeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for Alleviating Over-squashingIndustrial Conference on Data Mining (IDM), 2023 Li Sun Zhenhao Huang Hua Wu Junda Ye Hao Peng Zhengtao Yu Philip S. Yu 146 17 0 23 Jan 2024
PhoGAD: Graph-based Anomaly Behavior Detection with Persistent Homology Optimization Ziqi Yuan Haoyi Zhou Tianyu Chen Jianxin Li 122 7 0 19 Jan 2024
Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding Yuecen Wei Haonan Yuan Xingcheng Fu Qingyun Sun Hao Peng Xianxian Li Chunming Hu 163 10 0 19 Dec 2023
Tokenized Graph Transformer with Neighborhood Augmentation for Node Classification in Large Graphs Jinsong Chen Yu Xie Kai-Xin Gao Gaichao Li Kun He 157 4 0 22 May 2023
SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy OptimizationThe Web Conference (WWW), 2023 Dongcheng Zou Hao Peng Xiang Huang Renyu Yang Jianxin Li Hongzhi Zhang Chun-Yi Liu Philip S. Yu 150 65 0 17 Mar 2023
Self-organization Preserved Graph Structure Learning with Principle of Relevant InformationAAAI Conference on Artificial Intelligence (AAAI), 2022 Qingyun Sun Jianxin Li Beining Yang Xingcheng Fu Hao Peng Philip S. Yu 194 14 0 30 Dec 2022
TopoImb: Toward Topology-level Imbalance in Learning from GraphsLOG IN (LOG IN), 2022 Tianxiang Zhao Dongsheng Luo Xiang Zhang Suhang Wang AI4CE 215 15 0 16 Dec 2022
Heterogeneous Graph Neural Network for Privacy-Preserving RecommendationIndustrial Conference on Data Mining (IDM), 2022 Yuecen Wei Xingcheng Fu Qingyun Sun Hao Peng Hongzhi Zhang Jinyan Wang Xianxian Li 123 19 0 02 Oct 2022
NAGphormer: A Tokenized Graph Transformer for Node Classification in Large GraphsInternational Conference on Learning Representations (ICLR), 2022 Jinsong Chen Ran Bi Gaichao Li Kun He 256 162 0 10 Jun 2022