Graph Neural Networks with Heterophily

Graph Neural Networks with Heterophily

28 September 2020

Ryan A. Rossi

Papers citing "Graph Neural Networks with Heterophily"

19 / 69 papers shown

Title
Simplified Graph Convolution with Heterophily Sudhanshu Chanpuriya Cameron Musco 21 25 0 08 Feb 2022
Deformable Graph Convolutional Networks Jinyoung Park Sungdong Yoo Jihwan Park Hyunwoo J. Kim GNN 30 13 0 29 Dec 2021
Powerful Graph Convolutioal Networks with Adaptive Propagation Mechanism for Homophily and Heterophily Tao Wang Rui-xia Wang Di Jin Dongxiao He Yuxiao Huang 13 29 0 27 Dec 2021
Block Modeling-Guided Graph Convolutional Neural Networks Dongxiao He Chundong Liang Huixin Liu Ming-Chang Wen Pengfei Jiao Zhiyong Feng GNN 29 65 0 27 Dec 2021
A Piece-wise Polynomial Filtering Approach for Graph Neural Networks Vijay Lingam C. Ekbote Manan Sharma Rahul Ragesh Arun Shankar Iyer Sundararajan Sellamanickam 28 6 0 07 Dec 2021
GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily Lun Du Xiaozhou Shi Qiang Fu Xiaojun Ma Hengyu Liu Shi Han Dongmei Zhang 40 104 0 29 Oct 2021
Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods Derek Lim Felix Hohne Xiuyu Li Sijia Huang Vaishnavi Gupta Omkar Bhalerao Ser-Nam Lim 59 337 0 27 Oct 2021
Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification? Sitao Luan Chenqing Hua Qincheng Lu Jiaqi Zhu Mingde Zhao Shuyuan Zhang Xiaoming Chang Doina Precup 44 112 0 12 Sep 2021
Node Feature Kernels Increase Graph Convolutional Network Robustness M. Seddik Changmin Wu J. Lutzeyer Michalis Vazirgiannis AAML 30 8 0 04 Sep 2021
Tree Decomposed Graph Neural Network Yu-Chiang Frank Wang Tyler Derr 19 68 0 25 Aug 2021
How does Heterophily Impact the Robustness of Graph Neural Networks? Theoretical Connections and Practical Implications Jiong Zhu Junchen Jin Donald Loveland Michael T. Schaub Danai Koutra AAML 32 35 0 14 Jun 2021
New Benchmarks for Learning on Non-Homophilous Graphs Derek Lim Xiuyu Li Felix Hohne Ser-Nam Lim 33 99 0 03 Apr 2021
Graph Neural Networks Inspired by Classical Iterative Algorithms Yongyi Yang T. Liu Yangkun Wang Jinjing Zhou Quan Gan Zhewei Wei Zheng-Wei Zhang Zengfeng Huang David Wipf 39 83 0 10 Mar 2021
Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks Yujun Yan Milad Hashemi Kevin Swersky Yaoqing Yang Danai Koutra 36 248 0 12 Feb 2021
A Unified View on Graph Neural Networks as Graph Signal Denoising Yao Ma Xiaorui Liu Tong Zhao Yozen Liu Jiliang Tang Neil Shah AI4CE 36 176 0 05 Oct 2020
Non-Local Graph Neural Networks Meng Liu Zhengyang Wang Shuiwang Ji 24 161 0 29 May 2020
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
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 148 837 0 28 Sep 2019
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 270 1,944 0 09 Jun 2018