Finding Global Homophily in Graph Neural Networks When Meeting Heterophily

15 May 2022

Xiang Li

Papers citing "Finding Global Homophily in Graph Neural Networks When Meeting Heterophily"

22 / 122 papers shown

Title
Introducing Expertise Logic into Graph Representation Learning from A Causal Perspective Hang Gao Jiangmeng Li Jingyao Wang Hui Xiong Xingzhe Su Feng Wu Changwen Zheng Gang Hua 42 0 0 20 Jan 2023
Homophily modulates double descent generalization in graph convolution networks Chengzhi Shi Liming Pan Hong Hu Ivan Dokmanić 33 9 0 26 Dec 2022
Multi-duplicated Characterization of Graph Structures using Information Gain Ratio for Graph Neural Networks Yuga Oishi Ken Kaneiwa 33 1 0 24 Dec 2022
GREAD: Graph Neural Reaction-Diffusion Networks Jeongwhan Choi Seoyoung Hong Noseong Park Sung-Bae Cho DiffM GNN 21 27 0 25 Nov 2022
From Node Interaction to Hop Interaction: New Effective and Scalable Graph Learning Paradigm Jie Chen Zilong Li Ying Zhu Junping Zhang Jian Pu 36 8 0 21 Nov 2022
Single-Pass Contrastive Learning Can Work for Both Homophilic and Heterophilic Graph Hong Wang Jieyu Zhang Qi Zhu Wei Huang Kenji Kawaguchi X. Xiao 39 11 0 20 Nov 2022
Neighborhood Convolutional Network: A New Paradigm of Graph Neural Networks for Node Classification Jinsong Chen Boyu Li Kun He GNN 21 0 0 15 Nov 2022
Clenshaw Graph Neural Networks Y. Guo Zhewei Wei GNN 61 10 0 29 Oct 2022
Revisiting Heterophily For Graph Neural Networks Sitao Luan Chenqing Hua Qincheng Lu Jiaqi Zhu Mingde Zhao Shuyuan Zhang Xiaoming Chang Doina Precup 47 181 0 14 Oct 2022
Uplifting Message Passing Neural Network with Graph Original Information Xiao Liu Lijun Zhang Hui Guan GNN 26 2 0 08 Oct 2022
Gradient Gating for Deep Multi-Rate Learning on Graphs T. Konstantin Rusch B. Chamberlain Michael W. Mahoney Michael M. Bronstein Siddhartha Mishra 79 53 0 02 Oct 2022
GPNet: Simplifying Graph Neural Networks via Multi-channel Geometric Polynomials Xun Liu Alex Hay-Man Ng Fangyu Lei Yikuan Zhang Zhengmin Li GNN 22 2 0 30 Sep 2022
SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization Ningyi Liao Dingheng Mo Siqiang Luo Xiang Li Pengcheng Yin GNN AI4CE 18 21 0 19 Jul 2022
ES-GNN: Generalizing Graph Neural Networks Beyond Homophily with Edge Splitting Jingwei Guo Kaizhu Huang Rui Zhang Xinping Yi AAML 34 4 0 27 May 2022
A Survey on Graph Representation Learning Methods Shima Khoshraftar A. An GNN AI4TS 32 108 0 04 Apr 2022
Incorporating Heterophily into Graph Neural Networks for Graph Classification Jiayi Yang Sourav Medya Wei Ye 26 4 0 15 Mar 2022
Graph Neural Networks for Graphs with Heterophily: A Survey Xin-Yang Zheng Yi Wang Yixin Liu Ming Li Miao Zhang Di Jin Philip S. Yu Shirui Pan 24 215 0 14 Feb 2022
Graph Decipher: A transparent dual-attention graph neural network to understand the message-passing mechanism for the node classification Yan Pang Chao Liu GNN 26 8 0 04 Jan 2022
Label-Wise Graph Convolutional Network for Heterophilic Graphs Enyan Dai Shijie Zhou Zhimeng Guo Suhang Wang 45 18 0 15 Oct 2021
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks Zhiqian Chen Fanglan Chen Lei Zhang Taoran Ji Kaiqun Fu Liang Zhao Feng Chen Lingfei Wu Charu C. Aggarwal Chang-Tien Lu 44 18 0 21 Jul 2021
AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter Yushun Dong Kaize Ding B. Jalaeian Shuiwang Ji Jundong Li 64 60 0 26 Apr 2021
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 169 1,078 0 13 Feb 2020