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

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"

7 / 7 papers shown

Title
Oversmoothing, Oversquashing, Heterophily, Long-Range, and more: Demystifying Common Beliefs in Graph Machine Learning Adrian Arnaiz-Rodriguez Federico Errica AI4CE 101 1 0 21 May 2025
Conditional Shift-Robust Conformal Prediction for Graph Neural Network Akansha Agrawal UQCV 258 1 0 20 May 2024
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges Wei Ju Siyu Yi Yifan Wang Zhiping Xiao Zhengyan Mao ... Senzhang Wang Xinwang Liu Xiao Luo Philip S. Yu Ming Zhang AI4CE 136 39 0 07 Mar 2024
Tokenized Graph Transformer with Neighborhood Augmentation for Node Classification in Large Graphs Jinsong Chen Chang-Shu Liu Kai-Xin Gao Gaichao Li Kun He 99 4 0 22 May 2023
Self-organization Preserved Graph Structure Learning with Principle of Relevant Information Qingyun Sun Jianxin Li Beining Yang Xingcheng Fu Hao Peng Philip S. Yu 73 11 0 30 Dec 2022
TopoImb: Toward Topology-level Imbalance in Learning from Graphs Tianxiang Zhao Dongsheng Luo Xiang Zhang Suhang Wang AI4CE 89 12 0 16 Dec 2022
NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs Jinsong Chen Kaiyuan Gao Gaichao Li Kun He 91 118 0 10 Jun 2022