Beyond Low-frequency Information in Graph Convolutional Networks

4 January 2021

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

50 / 251 papers shown

Title
Graph Contrastive Learning under Heterophily via Graph Filters Wenhan Yang Baharan Mirzasoleiman 27 2 0 11 Mar 2023
Steering Graph Neural Networks with Pinning Control Acong Zhang P. Li Guanrong Chen LLMSV 37 0 0 02 Mar 2023
Specformer: Spectral Graph Neural Networks Meet Transformers Deyu Bo Chuan Shi Lele Wang Renjie Liao 79 83 0 02 Mar 2023
Framelet Message Passing Xinliang Liu Bingxin Zhou Chutian Zhang Yu Guang Wang 37 5 0 28 Feb 2023
Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs Xin Zheng Miao Zhang C. Chen Qin Zhang Chuan Zhou Shirui Pan GNN 47 30 0 23 Feb 2023
A critical look at the evaluation of GNNs under heterophily: Are we really making progress? Oleg Platonov Denis Kuznedelev Michael Diskin Artem Babenko Liudmila Prokhorenkova 36 193 0 22 Feb 2023
Diffusion Probabilistic Models for Structured Node Classification Hyosoon Jang Seonghyun Park Sangwoo Mo Sungsoo Ahn DiffM 20 3 0 21 Feb 2023
Finding Heterophilic Neighbors via Confidence-based Subgraph Matching for Semi-supervised Node Classification Yoonhyuk Choi Jiho Choi Taewook Ko Chong-Kwon Kim 21 8 0 20 Feb 2023
Robust Mid-Pass Filtering Graph Convolutional Networks Jincheng Huang Lun Du Xu Chen Qiang Fu Shi Han Dongmei Zhang AAML 35 35 0 16 Feb 2023
Homophily-oriented Heterogeneous Graph Rewiring Jiayan Guo Lun Du Wendong Bi Qiang Fu Xiaojun Ma Xu Chen Shi Han Dongmei Zhang Yan Zhang 27 26 0 13 Feb 2023
A Survey on Spectral Graph Neural Networks Deyu Bo Xiao Wang Yang Liu Yuan Fang Yawen Li Chuan Shi 40 26 0 11 Feb 2023
Heterophily-Aware Graph Attention Network Junfu Wang Yuanfang Guo Liang Yang Yun-an Wang 24 2 0 07 Feb 2023
Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing Yunchong Song Cheng Zhou Xinbing Wang Zhouhan Lin 37 64 0 03 Feb 2023
Neighborhood Homophily-based Graph Convolutional Network Sheng Gong Jiajun Zhou Chenxuan Xie Qi Xuan GNN 25 8 0 24 Jan 2023
State of the Art and Potentialities of Graph-level Learning Zhenyu Yang Ge Zhang Jia Wu Jian Yang Quan.Z Sheng ... Charu C. Aggarwal Hao Peng Wenbin Hu Edwin R. Hancock Pietro Lio GNN AI4CE 43 10 0 14 Jan 2023
Beyond Graph Convolutional Network: An Interpretable Regularizer-centered Optimization Framework Shiping Wang Zhihao Wu Yuhong Chen Yongzhe Chen GNN BDL 26 13 0 11 Jan 2023
CI-GNN: A Granger Causality-Inspired Graph Neural Network for Interpretable Brain Network-Based Psychiatric Diagnosis Kaizhong Zheng Shujian Yu Badong Chen CML 48 32 0 04 Jan 2023
Multi-duplicated Characterization of Graph Structures using Information Gain Ratio for Graph Neural Networks Yuga Oishi Ken Kaneiwa 33 1 0 24 Dec 2022
Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Neural Networks Sitao Luan Mingde Zhao Chenqing Hua Xiao-Wen Chang Doina Precup GNN 21 33 0 21 Dec 2022
Localized Contrastive Learning on Graphs Hengrui Zhang Qitian Wu Yu Wang Shaofeng Zhang Junchi Yan Philip S. Yu 26 9 0 08 Dec 2022
Node-oriented Spectral Filtering for Graph Neural Networks Shuai Zheng Zhenfeng Zhu Zhizhe Liu Youru Li Yao-Min Zhao 28 16 0 07 Dec 2022
Semantic Graph Neural Network with Multi-measure Learning for Semi-supervised Classification Jun-Liang Lin Yuan Wan Jingwen Xu X. Qi 33 0 0 04 Dec 2022
Hierarchical Model Selection for Graph Neural Netoworks Yuga Oishi Ken Kaneiwa 28 0 0 01 Dec 2022
Handling Missing Data via Max-Entropy Regularized Graph Autoencoder Zi-Chao Gao Yifan Niu Jiashun Cheng Jianheng Tang Tingyang Xu P. Zhao Lanqing Li Fugee Tsung Jia Li 33 12 0 30 Nov 2022
Every Node Counts: Improving the Training of Graph Neural Networks on Node Classification Moshe Eliasof E. Haber Eran Treister GNN 38 0 0 29 Nov 2022
GREAD: Graph Neural Reaction-Diffusion Networks Jeongwhan Choi Seoyoung Hong Noseong Park Sung-Bae Cho DiffM GNN 26 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 41 8 0 21 Nov 2022
Enhancing Intra-class Information Extraction for Heterophilous Graphs: One Neural Architecture Search Approach Lanning Wei Zhiqiang He Huan Zhao Quanming Yao 26 1 0 20 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
Blurring-Sharpening Process Models for Collaborative Filtering Jeongwhan Choi Seoyoung Hong Noseong Park Sung-Bae Cho 22 40 0 17 Nov 2022
Learnable Graph Convolutional Network and Feature Fusion for Multi-view Learning Zhaoliang Chen Lele Fu J. Yao Wenzhong Guo Claudia Plant Shiping Wang 33 117 0 16 Nov 2022
Total Variation Graph Neural Networks Jonas Hansen F. Bianchi 35 12 0 11 Nov 2022
Improving Graph Neural Networks with Learnable Propagation Operators Moshe Eliasof Lars Ruthotto Eran Treister 47 20 0 31 Oct 2022
SA-MLP: Distilling Graph Knowledge from GNNs into Structure-Aware MLP Jie Chen Shouzhen Chen Mingyuan Bai Junbin Gao Junping Zhang Jian Pu 42 10 0 18 Oct 2022
Improving Your Graph Neural Networks: A High-Frequency Booster Jiaqi Sun Lin Zhang Shenglin Zhao Yujiu Yang 30 7 0 15 Oct 2022
Revisiting Heterophily For Graph Neural Networks Sitao Luan Chenqing Hua Qincheng Lu Jiaqi Zhu Mingde Zhao Shuyuan Zhang Xiaoming Chang Doina Precup 54 183 0 14 Oct 2022
Generalized energy and gradient flow via graph framelets Andi Han Dai Shi Zhiqi Shao Junbin Gao 80 13 0 08 Oct 2022
Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum Nian Liu Xiao Wang Deyu Bo Chuan Shi Jian Pei 28 62 0 05 Oct 2022
Spectral Augmentation for Self-Supervised Learning on Graphs Lu Lin Jinghui Chen Hongning Wang OOD 45 49 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 84 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 29 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 27 2 0 26 Aug 2022
Signed Graph Neural Networks: A Frequency Perspective Rahul Singh Yongxin Chen 11 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 28 15 0 03 Aug 2022
Demystifying Graph Convolution with a Simple Concatenation Zhiqian Chen Zonghan Zhang GNN 16 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 Bo Du Wenbin Hu Danilo Mandic 44 29 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 13 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 35 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 33 0 0 29 Jun 2022
Understanding convolution on graphs via energies Francesco Di Giovanni J. Rowbottom B. Chamberlain Thomas Markovich Michael M. Bronstein GNN 28 46 0 22 Jun 2022