Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective

Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective

15 June 2022

Charu C. Aggarwal

Papers citing "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"

19 / 19 papers shown

Title
Improving the Stability of GNN Force Field Models by Reducing Feature Correlation Y. Zeng Wenlong He Ihor Vasyltsov Jiaxin Wei Ying Zhang Lin Chen Yuehua Dai 34 0 0 18 Feb 2025
Generalized Probabilistic Attention Mechanism in Transformers DongNyeong Heo Heeyoul Choi 49 0 0 21 Oct 2024
Preventing Representational Rank Collapse in MPNNs by Splitting the Computational Graph Andreas Roth Franka Bause Nils M. Kriege Thomas Liebig 25 2 0 17 Sep 2024
Alleviating Over-Smoothing via Aggregation over Compact Manifolds Dongzhuoran Zhou Hui Yang Bo Xiong Yue Ma Evgeny Kharlamov 36 0 0 27 Jul 2024
Infinite-Horizon Graph Filters: Leveraging Power Series to Enhance Sparse Information Aggregation Ruizhe Zhang Xinke Jiang Yuchen Fang Jiayuan Luo Yongxin Xu Yichen Zhu Xu Chu Junfeng Zhao Yasha Wang 21 1 0 18 Jan 2024
Graph Neural Networks for Tabular Data Learning: A Survey with Taxonomy and Directions Cheng-Te Li Yu-Che Tsai Chih-Yao Chen Jay Chiehen Liao LMTD AI4CE 25 7 0 04 Jan 2024
Graph Elimination Networks Shuo Wang Ge Cheng Yun Zhang AI4CE GNN 16 0 0 02 Jan 2024
PC-Conv: Unifying Homophily and Heterophily with Two-fold Filtering Bingheng Li Erlin Pan Zhao Kang 6 29 0 22 Dec 2023
Rank Collapse Causes Over-Smoothing and Over-Correlation in Graph Neural Networks Andreas Roth Thomas Liebig 29 11 0 31 Aug 2023
Towards Deep Attention in Graph Neural Networks: Problems and Remedies Soo Yong Lee Fanchen Bu Jaemin Yoo Kijung Shin GNN 9 30 0 04 Jun 2023
Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering Mingqi Yang Wenjie Feng Yanming Shen Bryan Hooi 28 4 0 10 May 2023
Asymmetric Learning for Graph Neural Network based Link Prediction Kai-Lang Yao Wusuo Li 16 1 0 01 Mar 2023
Adaptive Depth Graph Attention Networks Jingbo Zhou Yixuan Du Ruqiong Zhang Rui Zhang GNN 32 1 0 16 Jan 2023
Condensing Graphs via One-Step Gradient Matching Wei Jin Xianfeng Tang Haoming Jiang Zheng Li Danqing Zhang Jiliang Tang Bin Ying DD 21 98 0 15 Jun 2022
Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage Yu-Chiang Frank Wang Yuying Zhao Yushun Dong Huiyuan Chen Jundong Li Tyler Derr 17 80 0 07 Jun 2022
Elastic Graph Neural Networks Xiaorui Liu W. Jin Yao Ma Yaxin Li Hua Liu Yiqi Wang Ming Yan Jiliang Tang 84 106 0 05 Jul 2021
AKE-GNN: Effective Graph Learning with Adaptive Knowledge Exchange Liang Zeng Jin Xu Zijun Yao Yanqiao Zhu Jian Li 11 1 0 10 Jun 2021
Few-Shot Graph Learning for Molecular Property Prediction Zhichun Guo Chuxu Zhang W. Yu John E. Herr Olaf Wiest Meng-Long Jiang Nitesh V. Chawla AI4CE 106 168 0 16 Feb 2021
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 167 1,058 0 13 Feb 2020