Beyond Low-frequency Information in Graph Convolutional Networks

4 January 2021

Papers citing "Beyond Low-frequency Information in Graph Convolutional Networks"

50 / 260 papers shown

Title
Spectral Augmentation for Self-Supervised Learning on Graphs Lu Lin Jinghui Chen Hongning Wang OOD 101 51 0 02 Oct 2022
Gradient Gating for Deep Multi-Rate Learning on Graphs T. Konstantin Rusch B. Chamberlain Michael W. Mahoney Michael M. Bronstein Siddhartha Mishra 125 59 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 111 2 0 30 Sep 2022
What Does the Gradient Tell When Attacking the Graph Structure Zihan Liu Ge Wang Yun Luo Stan Z. Li AAML 61 2 0 26 Aug 2022
Signed Graph Neural Networks: A Frequency Perspective Rahul Singh Yongxin Chen 60 11 0 15 Aug 2022
Link Prediction on Heterophilic Graphs via Disentangled Representation Learning Shijie Zhou Zhimeng Guo Charu C. Aggarwal Xiang Zhang Suhang Wang 72 15 0 03 Aug 2022
Demystifying Graph Convolution with a Simple Concatenation Zhiqian Chen Zonghan Zhang GNN 30 0 0 18 Jul 2022
Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks Chuang Liu Xueqi Ma Yinbing Zhan Liang Ding Dapeng Tao Di Lin Wenbin Hu Danilo Mandic 95 33 0 18 Jul 2022
Explainable Sparse Knowledge Graph Completion via High-order Graph Reasoning Network Weijia Chen Yixin Cao Fuli Feng Xiangnan He Yongdong Zhang 97 2 0 14 Jul 2022
On Graph Neural Network Fairness in the Presence of Heterophilous Neighborhoods Donald Loveland Jiong Zhu Mark Heimann Benjamin Fish Michael T. Schaub Danai Koutra 83 6 0 10 Jul 2022
Modeling Teams Performance Using Deep Representational Learning on Graphs Francesco Carli Pietro Foini N. Gozzi N. Perra Rossano Schifanella GNN 40 0 0 29 Jun 2022
Understanding convolution on graphs via energies Francesco Di Giovanni J. Rowbottom B. Chamberlain Thomas Markovich Michael M. Bronstein GNN 81 51 0 22 Jun 2022
Sheaf Neural Networks with Connection Laplacians Federico Barbero Cristian Bodnar Haitz Sáez de Ocáriz Borde Michael M. Bronstein Petar Velivcković Pietro Lio 78 43 0 17 Jun 2022
Decoupled Self-supervised Learning for Non-Homophilous Graphs Teng Xiao Zhengyu Chen Zhimeng Guo Zeyang Zhuang Suhang Wang BDL SSL 97 18 0 07 Jun 2022
Restructuring Graph for Higher Homophily via Adaptive Spectral Clustering Shouheng Li Dongwoo Kim Qing Wang 97 14 0 06 Jun 2022
Rethinking Graph Neural Networks for Anomaly Detection Jianheng Tang Jiajin Li Zi-Chao Gao Jia Li 129 226 0 31 May 2022
Universal Deep GNNs: Rethinking Residual Connection in GNNs from a Path Decomposition Perspective for Preventing the Over-smoothing Jie Chen Weiqi Liu Zhizhong Huang Junbin Gao Junping Zhang Jian Pu 68 3 0 30 May 2022
Embedding Graphs on Grassmann Manifold Bingxin Zhou Xuebin Zheng Yu Guang Wang Ming Li Junbin Gao 59 3 0 30 May 2022
Geometer: Graph Few-Shot Class-Incremental Learning via Prototype Representation Bin Lu Xiaoying Gan Lina Yang Weinan Zhang Luoyi Fu Xinbing Wang CLL 82 29 0 27 May 2022
EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks Runlin Lei Zhen Wang Yaliang Li Bolin Ding Zhewei Wei AAML 98 45 0 27 May 2022
ES-GNN: Generalizing Graph Neural Networks Beyond Homophily with Edge Splitting Jingwei Guo Kaizhu Huang Rui Zhang Xinping Yi AAML 117 5 0 27 May 2022
Revisiting the role of heterophily in graph representation learning: An edge classification perspective Jincheng Huang P. Li Ruifang Huang Chen Na Acong Zhang 99 14 0 23 May 2022
Simplifying Node Classification on Heterophilous Graphs with Compatible Label Propagation Zhiqiang Zhong Sergey Ivanov Jun Pang 70 9 0 19 May 2022
Reconstruction Enhanced Multi-View Contrastive Learning for Anomaly Detection on Attributed Networks Jiaqiang Zhang Senzhang Wang Songcan Chen 72 54 0 10 May 2022
Function-words Enhanced Attention Networks for Few-Shot Inverse Relation Classification Chunliu Dou Shaojuan Wu Xiaowang Zhang Zhiyong Feng Kewen Wang 48 12 0 26 Apr 2022
DropMessage: Unifying Random Dropping for Graph Neural Networks Taoran Fang Zhiqing Xiao Chunping Wang Jiarong Xu Xuan Yang Yang Yang 56 53 0 21 Apr 2022
Augmentation-Free Graph Contrastive Learning with Performance Guarantee Haonan Wang Jieyu Zhang Qi Zhu Wei Huang 92 31 0 11 Apr 2022
Unsupervised Network Embedding Beyond Homophily Zhiqiang Zhong Guadalupe Gonzalez Daniele Grattarola Jun Pang OODD GNN 92 6 0 21 Mar 2022
Exploiting Neighbor Effect: Conv-Agnostic GNNs Framework for Graphs with Heterophily Jie Chen Shouzhen Chen Junbin Gao Zengfeng Huang Junping Zhang Jian Pu 109 27 0 19 Mar 2022
Incorporating Heterophily into Graph Neural Networks for Graph Classification Jiayi Yang Sourav Medya Wei Ye 83 5 0 15 Mar 2022
Graph Representation Learning Beyond Node and Homophily You Li Bei Lin Binli Luo Ning Gui SSL 87 16 0 03 Mar 2022
When Does A Spectral Graph Neural Network Fail in Node Classification? Zhi-Xing Chen Tengfei Ma Yangkun Wang 100 13 0 16 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 112 227 0 14 Feb 2022
Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs Cristian Bodnar Francesco Di Giovanni B. Chamberlain Pietro Lio Michael M. Bronstein 112 183 0 09 Feb 2022
MarkovGNN: Graph Neural Networks on Markov Diffusion Md. Khaledur Rahman Abhigya Agrawal A. Azad GNN BDL 70 2 0 05 Feb 2022
Memory-based Message Passing: Decoupling the Message for Propogation from Discrimination Jie Chen Weiqi Liu Jianghuai Pu 78 10 0 01 Feb 2022
MGNN: Graph Neural Networks Inspired by Distance Geometry Problem Guanyu Cui Zhewei Wei 70 8 0 31 Jan 2022
Density-Aware Hyper-Graph Neural Networks for Graph-based Semi-supervised Node Classification Jianpeng Liao Qian Tao Jun Yan GNN 55 3 0 27 Jan 2022
Debiased Graph Neural Networks with Agnostic Label Selection Bias Shaohua Fan Xiao Wang Chuan Shi Kun Kuang Nian Liu Bai Wang AI4CE 103 39 0 19 Jan 2022
Deformable Graph Convolutional Networks Jinyoung Park Sungdong Yoo Jihwan Park Hyunwoo J. Kim GNN 132 13 0 29 Dec 2021
A New Perspective on the Effects of Spectrum in Graph Neural Networks Mingqi Yang Yanming Shen Rui Li Heng Qi Qian Zhang Baocai Yin GNN 77 30 0 14 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 75 6 0 07 Dec 2021
Generalizing Graph Neural Networks on Out-Of-Distribution Graphs Shaohua Fan Xiao Wang Chuan Shi Peng Cui Bai Wang CML OOD OODD AI4CE 167 89 0 20 Nov 2021
Graph Neural Networks with Feature and Structure Aware Random Walk Wei Zhuo Chenyun Yu Guang Tan GNN 34 1 0 19 Nov 2021
Simplifying approach to Node Classification in Graph Neural Networks S. Maurya Xin Liu T. Murata 127 81 0 12 Nov 2021
Implicit vs Unfolded Graph Neural Networks Yongyi Yang Tang Liu Yangkun Wang Zengfeng Huang David Wipf 236 15 0 12 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 152 361 0 27 Oct 2021
Adaptive Gaussian Processes on Graphs via Spectral Graph Wavelets Felix L. Opolka Yin-Cong Zhi Pietro Lio Xiaowen Dong 60 19 0 25 Oct 2021
Label-Wise Graph Convolutional Network for Heterophilic Graphs Enyan Dai Shijie Zhou Zhimeng Guo Suhang Wang 127 21 0 15 Oct 2021
Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration Xiao Wang Hongrui Liu Chuan Shi Cheng Yang UQCV 191 122 0 29 Sep 2021