Non-Local Graph Neural Networks

29 May 2020

Papers citing "Non-Local Graph Neural Networks"

41 / 91 papers shown

Title
Revisiting Heterophily For Graph Neural Networks Sitao Luan Chenqing Hua Qincheng Lu Jiaqi Zhu Mingde Zhao Shuyuan Zhang Xiaoming Chang Doina Precup 41 179 0 14 Oct 2022
From Local to Global: Spectral-Inspired Graph Neural Networks Ningyuan Huang Soledad Villar Carey E. Priebe Da Zheng Cheng-Fu Huang Lin F. Yang Vladimir Braverman 23 14 0 24 Sep 2022
Discourse-Aware Graph Networks for Textual Logical Reasoning Yinya Huang Lemao Liu Kun Xu Meng Fang Liang Lin Xi Liang NAI 21 5 0 04 Jul 2022
ES-GNN: Generalizing Graph Neural Networks Beyond Homophily with Edge Splitting Jingwei Guo Kaizhu Huang Rui Zhang Xinping Yi AAML 28 4 0 27 May 2022
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily Xiang Li Renyu Zhu Yao Cheng Caihua Shan Siqiang Luo Dongsheng Li Wei Qian 15 181 0 15 May 2022
HL-Net: Heterophily Learning Network for Scene Graph Generation Xin Lin Changxing Ding Yibing Zhan Zijian Li Dacheng Tao 23 38 0 03 May 2022
A Survey on Graph Representation Learning Methods Shima Khoshraftar A. An GNN AI4TS 27 108 0 04 Apr 2022
Exploiting Neighbor Effect: Conv-Agnostic GNNs Framework for Graphs with Heterophily Jie Chen Shouzhen Chen Junbin Gao Zengfeng Huang Junping Zhang Jian Pu 36 23 0 19 Mar 2022
Graph Auto-Encoder Via Neighborhood Wasserstein Reconstruction Mingyue Tang Carl Yang Pan Li GNN AI4CE 41 55 0 18 Feb 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 21 214 0 14 Feb 2022
Simplified Graph Convolution with Heterophily Sudhanshu Chanpuriya Cameron Musco 14 25 0 08 Feb 2022
Deformable Graph Convolutional Networks Jinyoung Park Sungdong Yoo Jihwan Park Hyunwoo J. Kim GNN 16 13 0 29 Dec 2021
Graph-wise Common Latent Factor Extraction for Unsupervised Graph Representation Learning Thilini Cooray Ngai-man Cheung 19 6 0 16 Dec 2021
Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods Wenqing Zheng Edward W. Huang Nikhil S. Rao S. Katariya Zhangyang Wang Karthik Subbian 26 61 0 08 Nov 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 39 336 0 27 Oct 2021
Parameter Prediction for Unseen Deep Architectures Boris Knyazev M. Drozdzal Graham W. Taylor Adriana Romero Soriano OOD 22 78 0 25 Oct 2021
FDGATII : Fast Dynamic Graph Attention with Initial Residual and Identity Mapping Gayan K. Kulatilleke Marius Portmann Ryan K. L. Ko Shekhar S. Chandra 17 9 0 21 Oct 2021
Graph Pointer Neural Networks Tian-bao Yang Yujing Wang Z. Yue Yaming Yang Yunhai Tong Jing Bai 13 34 0 03 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 35 112 0 12 Sep 2021
Universal Approximation of Functions on Sets E. Wagstaff F. Fuchs Martin Engelcke Michael A. Osborne Ingmar Posner PINN 32 54 0 05 Jul 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 29 35 0 14 Jun 2021
Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns Susheel Suresh Vinith Budde Jennifer Neville Pan Li Jianzhu Ma 21 131 0 11 Jun 2021
On Local Aggregation in Heterophilic Graphs Hesham Mostafa Marcel Nassar Somdeb Majumdar 15 4 0 06 Jun 2021
WGCN: Graph Convolutional Networks with Weighted Structural Features Yunxiang Zhao Jianzhong Qi Qingwei Liu Rui Zhang GNN 24 33 0 29 Apr 2021
Node Embedding using Mutual Information and Self-Supervision based Bi-level Aggregation Kashob Kumar Roy Amit Roy A. Rahman M. A. Amin A. Ali SSL 16 10 0 27 Apr 2021
New Benchmarks for Learning on Non-Homophilous Graphs Derek Lim Xiuyu Li Felix Hohne Ser-Nam Lim 28 99 0 03 Apr 2021
Beyond Low-Pass Filters: Adaptive Feature Propagation on Graphs Sean Li Dongwoo Kim Qing Wang GNN 25 34 0 26 Mar 2021
Self-Supervised Learning of Graph Neural Networks: A Unified Review Yaochen Xie Zhao Xu Jingtun Zhang Zhengyang Wang Shuiwang Ji SSL 19 324 0 22 Feb 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 36 247 0 12 Feb 2021
GraphEBM: Molecular Graph Generation with Energy-Based Models Meng Liu Keqiang Yan Bora Oztekin Shuiwang Ji 22 84 0 31 Jan 2021
Node2Seq: Towards Trainable Convolutions in Graph Neural Networks Hao Yuan Shuiwang Ji GNN 82 7 0 06 Jan 2021
Beyond Low-frequency Information in Graph Convolutional Networks Deyu Bo Xiao Wang C. Shi Huawei Shen GNN 94 558 0 04 Jan 2021
Revisiting graph neural networks and distance encoding from a practical view Haoteng Yin Yanbang Wang Pan Li AI4CE 32 5 0 22 Nov 2020
Stacked Graph Filter Hoang NT Takanori Maehara T. Murata GNN 16 4 0 22 Nov 2020
Node Similarity Preserving Graph Convolutional Networks Wei Jin Tyler Derr Yiqi Wang Yao Ma Zitao Liu Jiliang Tang 30 247 0 19 Nov 2020
Towards Deeper Graph Neural Networks Meng Liu Hongyang Gao Shuiwang Ji GNN AI4CE 37 595 0 18 Jul 2020
Pointer Graph Networks Petar Velivcković Lars Buesing Matthew Overlan Razvan Pascanu Oriol Vinyals Charles Blundell GNN 22 62 0 11 Jun 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 148 836 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 267 1,944 0 09 Jun 2018
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 250 3,236 0 24 Nov 2016