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
Understanding Heterophily for Graph Neural Networks Junfu Wang Yuanfang Guo Liang Yang Yun-an Wang 106 15 0 17 Jan 2024
Rethinking Spectral Graph Neural Networks with Spatially Adaptive Filtering Jingwei Guo Kaizhu Huang Xinping Yi Zixian Su Rui Zhang 102 3 0 17 Jan 2024
Machine Learning on Dynamic Graphs: A Survey on Applications Sanaz Hasanzadeh Fard AI4CE 84 5 0 16 Jan 2024
Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph Clustering Zichen Wen Yawen Ling Yazhou Ren Tianyi Wu Jianpeng Chen X. Pu Zhifeng Hao Lifang He 95 13 0 05 Jan 2024
FCDNet: Frequency-Guided Complementary Dependency Modeling for Multivariate Time-Series Forecasting Weijun Chen Heyuan Wang Ye Tian Shijie Guan Ning Liu AI4TS 35 1 0 27 Dec 2023
Refining Latent Homophilic Structures over Heterophilic Graphs for Robust Graph Convolution Networks Chenyang Qiu Gu Nan Tianyu Xiong Wendi Deng Di Wang Zhiyang Teng Lijuan Sun Qimei Cui Xiaofeng Tao 76 6 0 27 Dec 2023
Graph Neural Networks with Diverse Spectral Filtering Jingwei Guo Kaizhu Huang Xinping Yi Rui Zhang 146 14 0 14 Dec 2023
Revisiting Graph-Based Fraud Detection in Sight of Heterophily and Spectrum Fan Xu Nan Wang Hao Wu Xuezhi Wen Xibin Zhao Hai Wan 82 27 0 11 Dec 2023
A Decoupled Spatio-Temporal Framework for Skeleton-based Action Segmentation Yunheng Li Zhongyu Li Shanghua Gao Qilong Wang Qibin Hou Ming-Ming Cheng 103 3 0 10 Dec 2023
Generalized Graph Prompt: Toward a Unification of Pre-Training and Downstream Tasks on Graphs Xingtong Yu Zhenghao Liu Yuan Fang Zemin Liu Sihong Chen Xinming Zhang 127 31 0 26 Nov 2023
Few-shot Message-Enhanced Contrastive Learning for Graph Anomaly Detection Fan Xu Nan Wang Xuezhi Wen Meiqi Gao Chaoqun Guo Xibin Zhao 66 7 0 17 Nov 2023
Dirichlet Energy Enhancement of Graph Neural Networks by Framelet Augmentation Jialin Chen Yuelin Wang Cristian Bodnar Rex Ying Pietro Lio Yu Guang Wang 74 11 0 09 Nov 2023
Simple and Asymmetric Graph Contrastive Learning without Augmentations Teng Xiao Huaisheng Zhu Zhengyu Chen Suhang Wang 89 35 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 73 0 0 26 Oct 2023
Augment with Care: Enhancing Graph Contrastive Learning with Selective Spectrum Perturbation Kaiqi Yang Haoyu Han Wei Jin Hui Liu 71 2 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 57 3 0 18 Oct 2023
SignGT: Signed Attention-based Graph Transformer for Graph Representation Learning Jinsong Chen Gaichao Li John E. Hopcroft Kun He SLR 93 6 0 17 Oct 2023
Shape-aware Graph Spectral Learning Junjie Xu Enyan Dai Dongsheng Luo Xiang Zhang Suhang Wang 96 3 0 16 Oct 2023
Graph Distillation with Eigenbasis Matching Yang Liu Deyu Bo Chuan Shi DD 140 10 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 66 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 101 21 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 77 5 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 Helen Zhou 113 0 0 29 Sep 2023
Provable Training for Graph Contrastive Learning Yue Yu Tianlin Li Mengmei Zhang Nian Liu Chuan Shi 102 10 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 101 16 0 12 Sep 2023
Rank Collapse Causes Over-Smoothing and Over-Correlation in Graph Neural Networks Andreas Roth Thomas Liebig 114 14 0 31 Aug 2023
Domain-adaptive Message Passing Graph Neural Network X. Shen Shirui Pan K. Choi Xiaoping Zhou 98 18 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 51 0 0 15 Aug 2023
Language is All a Graph Needs Ruosong Ye Caiqi Zhang Runhui Wang Shuyuan Xu Yongfeng Zhang AI4CE 174 171 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 84 5 0 07 Aug 2023
Feature Transportation Improves Graph Neural Networks Moshe Eliasof E. Haber Eran Treister GNN 109 12 0 29 Jul 2023
MUSE: Multi-View Contrastive Learning for Heterophilic Graphs Mengyi Yuan Minjie Chen Xiangci Li SSL 85 9 0 29 Jul 2023
Neural-Symbolic Recommendation with Graph-Enhanced Information Bang-Chao Chen Wei Peng Maonian Wu Bo Zheng Shaojun Zhu 144 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 76 3 0 05 Jul 2023
GPatcher: A Simple and Adaptive MLP Model for Alleviating Graph Heterophily Shuaicheng Zhang Haohui Wang Si Zhang Dawei Zhou 72 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 64 8 0 23 Jun 2023
Evolving Computation Graphs Andreea Deac Jian Tang 75 1 0 22 Jun 2023
On Addressing the Limitations of Graph Neural Networks Sitao Luan GNN 89 5 0 22 Jun 2023
Spatial Heterophily Aware Graph Neural Networks Congxi Xiao Jingbo Zhou Jizhou Huang Tong Xu Hui Xiong 105 9 0 21 Jun 2023
Self-supervised Learning and Graph Classification under Heterophily Y. Ding Ziqiang Liu Hao Hao SSL 52 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 77 34 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 122 7 0 08 Jun 2023
Towards Deep Attention in Graph Neural Networks: Problems and Remedies Soo Yong Lee Fanchen Bu Jaemin Yoo Kijung Shin GNN 63 31 0 04 Jun 2023
Clarify Confused Nodes via Separated Learning Jiajun Zhou Sheng Gong Chenxuan Xie Shanqing Yu Qi Xuan Xiaoniu Yang Xiaoniu Yang 192 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 70 13 0 30 May 2023
Self-attention Dual Embedding for Graphs with Heterophily Yurui Lai Taiyan Zhang Rui Fan GNN 108 0 0 28 May 2023
Graph Neural Convection-Diffusion with Heterophily Kai Zhao Qiyu Kang Yang Song Rui She Sijie Wang Wee Peng Tay 117 31 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 33 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 83 5 0 22 May 2023
A Fractional Graph Laplacian Approach to Oversmoothing Sohir Maskey Raffaele Paolino Aras Bacho Gitta Kutyniok 122 37 0 22 May 2023