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
Simple and Asymmetric Graph Contrastive Learning without Augmentations Teng Xiao Huaisheng Zhu Zhengyu Chen Suhang Wang 35 31 0 29 Oct 2023
Unleashing the potential of GNNs via Bi-directional Knowledge Transfer Shuai Zheng Zhizhe Liu Zhenfeng Zhu Xingxing Zhang Jianxin Li Yao-Min Zhao 38 0 0 26 Oct 2023
Augment with Care: Enhancing Graph Contrastive Learning with Selective Spectrum Perturbation Kaiqi Yang Haoyu Han Wei-dong Jin Hui Liu 35 3 0 20 Oct 2023
Hetero $^2$ Net: Heterophily-aware Representation Learning on Heterogenerous Graphs Jintang Li Zheng Wei Jiawang Dan Jing Zhou Yuchang Zhu ... Zhang Zhen Changhua Meng Hong Jin Zibin Zheng Liang Chen 38 3 0 18 Oct 2023
SignGT: Signed Attention-based Graph Transformer for Graph Representation Learning Jinsong Chen Gaichao Li J. Hopcroft Kun He SLR 13 5 0 17 Oct 2023
Shape-aware Graph Spectral Learning Junjie Xu Enyan Dai Dongsheng Luo Xiang Zhang Suhang Wang 34 3 0 16 Oct 2023
Graph Distillation with Eigenbasis Matching Yang Liu Deyu Bo Chuan Shi DD 30 9 0 13 Oct 2023
How Graph Neural Networks Learn: Lessons from Training Dynamics Chenxiao Yang Qitian Wu David Wipf Ruoyu Sun Junchi Yan AI4CE GNN 22 1 0 08 Oct 2023
Data-centric Graph Learning: A Survey Jixi Liu Deyu Bo Cheng Yang Haoran Dai Qi Zhang Yixin Xiao Yufei Peng Chuan Shi GNN 35 19 0 08 Oct 2023
FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations C. Ekbote Ajinkya Deshpande Arun Shankar Iyer Ramakrishna Bairi Sundararajan Sellamanickam SSL 44 3 0 03 Oct 2023
On the Equivalence of Graph Convolution and Mixup Xiaotian Han Hanqing Zeng Yu Chen Shaoliang Nie Jingzhou Liu ... Karthik Abinav Sankararaman Song Jiang Madian Khabsa Qifan Wang Xia Hu 60 0 0 29 Sep 2023
Provable Training for Graph Contrastive Learning Yue Yu Tianlin Li Mengmei Zhang Nian Liu Chuan Shi 29 9 0 25 Sep 2023
Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive Learning Jingcan Duan Pei Zhang Siwei Wang Jingtao Hu Hu Jin Jiaxin Zhang Haifang Zhou Xinwang Liu 42 10 0 12 Sep 2023
Rank Collapse Causes Over-Smoothing and Over-Correlation in Graph Neural Networks Andreas Roth Thomas Liebig 56 13 0 31 Aug 2023
Domain-adaptive Message Passing Graph Neural Network X. Shen Shirui Pan K. Choi Xiaoping Zhou 38 16 0 31 Aug 2023
Freshness or Accuracy, Why Not Both? Addressing Delayed Feedback via Dynamic Graph Neural Networks Xiaolin Zheng Zhongyu Wang Chaochao Chen Feng Zhu Jiashu Qian 25 0 0 15 Aug 2023
Language is All a Graph Needs Ruosong Ye Caiqi Zhang Runhui Wang Shuyuan Xu Yongfeng Zhang AI4CE 68 151 0 14 Aug 2023
Bridging Trustworthiness and Open-World Learning: An Exploratory Neural Approach for Enhancing Interpretability, Generalization, and Robustness Shide Du Zihan Fang Shiyang Lan Yanchao Tan Manuel Günther Shiping Wang Wenzhong Guo 28 3 0 07 Aug 2023
Feature Transportation Improves Graph Neural Networks Moshe Eliasof E. Haber Eran Treister GNN 55 11 0 29 Jul 2023
MUSE: Multi-View Contrastive Learning for Heterophilic Graphs Mengyi Yuan Minjie Chen Xiangci Li SSL 39 8 0 29 Jul 2023
Neural-Symbolic Recommendation with Graph-Enhanced Information Bang-Chao Chen Wei Peng Maonian Wu Bo Zheng Shaojun Zhu 45 1 0 11 Jul 2023
Muti-scale Graph Neural Network with Signed-attention for Social Bot Detection: A Frequency Perspective S. Shi Kai Qiao Zhengyan Wang J. Yang Baojie Song Jian Chen Binghai Yan 36 3 0 05 Jul 2023
GPatcher: A Simple and Adaptive MLP Model for Alleviating Graph Heterophily Shuaicheng Zhang Haohui Wang Si Zhang Dawei Zhou 29 2 0 25 Jun 2023
PathMLP: Smooth Path Towards High-order Homophily Chenxuan Xie Jiajun Zhou Sheng Gong Jiacheng Wan Jiaxu Qian Shanqing Yu Qi Xuan Xiaoniu Yang 29 6 0 23 Jun 2023
Evolving Computation Graphs Andreea Deac Jian Tang 35 1 0 22 Jun 2023
On Addressing the Limitations of Graph Neural Networks Sitao Luan GNN 21 5 0 22 Jun 2023
Spatial Heterophily Aware Graph Neural Networks Congxi Xiao Jingbo Zhou Jizhou Huang Tong Xu Hui Xiong 38 5 0 21 Jun 2023
Self-supervised Learning and Graph Classification under Heterophily Y. Ding Zichen Liu Hao Hao SSL 28 1 0 14 Jun 2023
Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs Y. Zheng He Zhang V. Lee Yu Zheng Tianlin Li Shirui Pan 44 33 0 13 Jun 2023
On Performance Discrepancies Across Local Homophily Levels in Graph Neural Networks Donald Loveland Jiong Zhu Mark Heimann Benjamin Fish Michael T. Shaub Danai Koutra 40 6 0 08 Jun 2023
Towards Deep Attention in Graph Neural Networks: Problems and Remedies Soo Yong Lee Fanchen Bu Jaemin Yoo Kijung Shin GNN 27 30 0 04 Jun 2023
Clarify Confused Nodes via Separated Learning Jiajun Zhou Sheng Gong Chenxuan Xie Shanqing Yu Qi Xuan Xiaoniu Yang Xiaoniu Yang 91 3 0 04 Jun 2023
Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks Qiyu Kang Kai Zhao Yang Song Sijie Wang Wee Peng Tay 32 12 0 30 May 2023
Self-attention Dual Embedding for Graphs with Heterophily Yurui Lai Taiyan Zhang Rui Fan GNN 48 0 0 28 May 2023
Graph Neural Convection-Diffusion with Heterophily Kai Zhao Qiyu Kang Yang Song Rui She Sijie Wang Wee Peng Tay 44 28 0 26 May 2023
Size Generalization of Graph Neural Networks on Biological Data: Insights and Practices from the Spectral Perspective Gao Li Danai Koutra Yujun Yan 21 1 0 24 May 2023
Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention Hongjun Wang Jiyuan Chen Lun Du Qiang Fu Shi Han Xuan Song CML GNN 40 4 0 22 May 2023
A Fractional Graph Laplacian Approach to Oversmoothing Sohir Maskey Raffaele Paolino Aras Bacho Gitta Kutyniok 41 32 0 22 May 2023
Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting it into MLPs: An Effective GNN-to-MLP Distillation Framework Lirong Wu Haitao Lin Yufei Huang Tianyu Fan Stan Z. Li 24 29 0 18 May 2023
Edge Directionality Improves Learning on Heterophilic Graphs Emanuele Rossi Bertrand Charpentier Francesco Di Giovanni Fabrizio Frasca Stephan Günnemann Michael M. Bronstein 29 57 0 17 May 2023
Dynamic Causal Explanation Based Diffusion-Variational Graph Neural Network for Spatio-temporal Forecasting G. Liang Prayag Tiwari Sławomir Nowaczyk Stefan Byttner F. Alonso-Fernandez DiffM 46 13 0 16 May 2023
LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity Yuhan Chen Yihong Luo Jing Tang Liang Yang Si-Huang Qiu Chuan Wang Xiaochun Cao 27 17 0 07 May 2023
Beyond Homophily: Reconstructing Structure for Graph-agnostic Clustering Erlin Pan Zhao Kang 37 35 0 03 May 2023
Imbalanced Node Classification Beyond Homophilic Assumption Jie Liu Mengting He Guangtao Wang Nguyen Quoc Viet Hung Xuequn Shang Hongzhi Yin 46 13 0 28 Apr 2023
When Do Graph Neural Networks Help with Node Classification? Investigating the Impact of Homophily Principle on Node Distinguishability Sitao Luan Chenqing Hua Minkai Xu Qincheng Lu Jiaqi Zhu Xiaoming Chang Jie Fu J. Leskovec Doina Precup 46 3 0 25 Apr 2023
GCNH: A Simple Method For Representation Learning On Heterophilous Graphs Andrea Cavallo Claas Grohnfeldt Michele Russo Giulio Lovisotto L. Vassio 35 10 0 21 Apr 2023
Multi-View Graph Representation Learning Beyond Homophily Bei Lin You Li Ning Gui Zhuopeng Xu Zhiwu Yu SSL 33 6 0 15 Apr 2023
A Comprehensive Survey on Deep Graph Representation Learning Wei Ju Zheng Fang Yiyang Gu Zequn Liu Qingqing Long ... Jingyang Yuan Yusheng Zhao Yifan Wang Xiao Luo Ming Zhang GNN AI4TS 72 142 0 11 Apr 2023
How Graph Structure and Label Dependencies Contribute to Node Classification in a Large Network of Documents Pirmin Lemberger Antoine Saillenfest GNN 38 0 0 03 Apr 2023
GANN: Graph Alignment Neural Network for Semi-Supervised Learning Linxuan Song Wenxuan Tu Sihang Zhou Xinwang Liu En Zhu 35 4 0 14 Mar 2023