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
Exploring the Potential of Large Language Models for Heterophilic Graphs Yuxia Wu Shujie Li Yuan Fang Chuan Shi 149 3 0 26 Aug 2024
SA-GDA: Spectral Augmentation for Graph Domain Adaptation Jinhui Pang Zixuan Wang Jiliang Tang Mingyan Xiao Nan Yin OOD 102 22 0 17 Aug 2024
Neighbor Overlay-Induced Graph Attention Network Tiqiao Wei Ye Yuan GNN 64 1 0 16 Aug 2024
Better Not to Propagate: Understanding Edge Uncertainty and Over-smoothing in Signed Graph Neural Networks Yoonhyuk Choi Jiho Choi Taewook Ko Chong-Kwon Kim 85 0 0 09 Aug 2024
Scalable Graph Compressed Convolutions Junshu Sun Chen Yang Shuhui Wang Qingming Huang GNN 112 0 0 26 Jul 2024
Mew: Multiplexed Immunofluorescence Image Analysis through an Efficient Multiplex Network Sukwon Yun Jie Peng Alexandro E. Trevino Chanyoung Park Tianlong Chen 75 2 0 25 Jul 2024
Simplifying the Theory on Over-Smoothing Andreas Roth 117 4 0 16 Jul 2024
When Heterophily Meets Heterogeneity: Challenges and a New Large-Scale Graph Benchmark Junhong Lin Xiaojie Guo Shuaicheng Zhang Dawei Zhou Yada Zhu 80 1 0 15 Jul 2024
Foundations and Frontiers of Graph Learning Theory Yu Huang Min Zhou Menglin Yang Zhen Wang Muhan Zhang Jie Wang Hong Xie Hao Wang Defu Lian Enhong Chen AI4CE GNN 160 2 0 03 Jul 2024
SF-GNN: Self Filter for Message Lossless Propagation in Deep Graph Neural Network Yushan Zhu Wen Zhang Yajing Xu Zhen Yao Yin Hua Huajun Chen 99 0 0 03 Jul 2024
Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers Jinsong Chen Hanpeng Liu John E. Hopcroft Kun He 108 6 0 27 Jun 2024
NTFormer: A Composite Node Tokenized Graph Transformer for Node Classification Jinsong Chen Siyu Jiang Kun He 110 2 0 27 Jun 2024
A Unified Framework for Combinatorial Optimization Based on Graph Neural Networks Yaochu Jin Xueming Yan Shiqing Liu Xiangyu Wang 130 3 0 19 Jun 2024
Graph Neural Reaction Diffusion Models Moshe Eliasof Eldad Haber Eran Treister DiffM AI4CE 98 3 0 16 Jun 2024
Global-Local Graph Neural Networks for Node-Classification Moshe Eliasof Eran Treister 151 3 0 16 Jun 2024
Benchmarking Spectral Graph Neural Networks: A Comprehensive Study on Effectiveness and Efficiency Ningyi Liao Haoyu Liu Zulun Zhu Siqiang Luo L. Lakshmanan 110 2 0 14 Jun 2024
Introducing Diminutive Causal Structure into Graph Representation Learning Hang Gao Peng Qiao Yifan Jin Fengge Wu Jiangmeng Li Changwen Zheng 125 4 0 13 Jun 2024
Node-wise Filtering in Graph Neural Networks: A Mixture of Experts Approach Haoyu Han Juanhui Li Wei Huang Xianfeng Tang Hanqing Lu Chen Luo Hui Liu Jiliang Tang 125 8 0 05 Jun 2024
Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters Ya-Wei Eileen Lin Ronen Talmon Ron Levie 89 0 0 03 Jun 2024
GLADformer: A Mixed Perspective for Graph-level Anomaly Detection Fan Xu Nan Wang Hao Wu Xuezhi Wen Dalin Zhang Siyang Lu Binyong Li Wei Gong Hai Wan Xibin Zhao 122 2 0 02 Jun 2024
GATE: How to Keep Out Intrusive Neighbors Nimrah Mustafa R. Burkholz 121 1 0 01 Jun 2024
Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs Langzhang Liang Sunwoo Kim Kijung Shin Zenglin Xu Shirui Pan Yuan Qi 120 8 0 31 May 2024
Heterophilous Distribution Propagation for Graph Neural Networks Zhuonan Zheng Sheng Zhou Hongjia Xu Ming Gu Yilun Xu Ao Li Yuhong Li Jingjun Gu Jiajun Bu 104 0 0 31 May 2024
Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled Learning Yuhao Wu Jiangchao Yao Bo Han Lina Yao Tongliang Liu 124 3 0 30 May 2024
Revisiting the Message Passing in Heterophilous Graph Neural Networks Zhuonan Zheng Yuanchen Bei Sheng Zhou Yao Ma Ming Gu Hongjia Xu Chengyu Lai Jiawei Chen Jiajun Bu 137 1 0 28 May 2024
Differentiable Cluster Graph Neural Network Yanfei Dong Mohammed Haroon Dupty Lambert Deng Zhuanghua Liu Yong Liang Goh Wee Sun Lee GNN 81 1 0 25 May 2024
LOGIN: A Large Language Model Consulted Graph Neural Network Training Framework Yiran Qiao Xiang Ao Yang Liu Jiarong Xu Xiaoqian Sun Qing He 98 4 0 22 May 2024
SeBot: Structural Entropy Guided Multi-View Contrastive Learning for Social Bot Detection Yingguang Yang Qi Wu Buyun He Hao Peng Renyu Yang Zhifeng Hao Yong Liao AAML 108 9 0 18 May 2024
Federated Graph Condensation with Information Bottleneck Principles Bo Yan DD FedML 80 4 0 07 May 2024
Lying Graph Convolution: Learning to Lie for Node Classification Tasks Daniele Castellana 70 0 0 02 May 2024
Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND Qiyu Kang Kai Zhao Qinxu Ding Feng Ji Xuhao Li Wenfei Liang Yang Song Wee Peng Tay 162 10 0 26 Apr 2024
Graph Neural Aggregation-diffusion with Metastability Kaiyuan Cui Xinyan Wang Zicheng Zhang Weichen Zhao 108 2 0 29 Mar 2024
Learn from Heterophily: Heterophilous Information-enhanced Graph Neural Network Yilun Zheng Jiahao Xu Lihui Chen 110 2 0 26 Mar 2024
VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections Dongqi Fu Zhigang Hua Yan Xie Jin Fang Si Zhang Kaan Sancak Hao Wu Andrey Malevich Jingrui He Bo Long 122 25 0 24 Mar 2024
Contextualized Messages Boost Graph Representations Brian Godwin Lim Galvin Brice Lim Renzo Roel Tan Kazushi Ikeda AI4CE 158 2 0 19 Mar 2024
Generation is better than Modification: Combating High Class Homophily Variance in Graph Anomaly Detection Rui Zhang Dawei Cheng Xin Liu Jie Yang Ouyang Yi Xian Wu Yefeng Zheng 65 3 0 15 Mar 2024
Reproducibility and Geometric Intrinsic Dimensionality: An Investigation on Graph Neural Network Research Tobias Hille Maximilian Stubbemann Tom Hanika AI4CE 63 0 0 13 Mar 2024
Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs M. Park Jaeseung Heo Dongwoo Kim 68 3 0 11 Mar 2024
Financial Default Prediction via Motif-preserving Graph Neural Network with Curriculum Learning Daixin Wang Qing Cui Yeyu Zhao Kai Huang Yulin Kang Jun Zhou AI4TS 60 11 0 11 Mar 2024
BloomGML: Graph Machine Learning through the Lens of Bilevel Optimization Amber Yijia Zheng Tong He Yixuan Qiu Minjie Wang David Wipf 99 2 0 07 Mar 2024
Representation Learning on Heterophilic Graph with Directional Neighborhood Attention Qincheng Lu Jiaqi Zhu Sitao Luan Xiaomeng Chang 77 5 0 03 Mar 2024
All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining Haihong Zhao Aochuan Chen Xiangguo Sun Hong Cheng Jia Li 98 42 0 15 Feb 2024
Disambiguated Node Classification with Graph Neural Networks Tianxiang Zhao Xiang Zhang Suhang Wang AI4CE 90 4 0 13 Feb 2024
Large Language Model Meets Graph Neural Network in Knowledge Distillation Shengxiang Hu Guobing Zou Song Yang Yanglan Gan Bofeng Zhang Yixin Chen 118 7 0 08 Feb 2024
Two Trades is not Baffled: Condensing Graph via Crafting Rational Gradient Matching Tianle Zhang Yuchen Zhang Kun Wang Kai Wang Beining Yang Kaipeng Zhang Wenqi Shao Ping Liu Qiufeng Wang Yang You DD 161 14 0 07 Feb 2024
DGNN: Decoupled Graph Neural Networks with Structural Consistency between Attribute and Graph Embedding Representations Jinlu Wang Jipeng Guo Yanfeng Sun Junbin Gao Shaofan Wang Yachao Yang Baocai Yin AI4CE 85 2 0 28 Jan 2024
Cross-Space Adaptive Filter: Integrating Graph Topology and Node Attributes for Alleviating the Over-smoothing Problem Chen Huang Haoyang Li Yifan Zhang Wenqiang Lei Jiancheng Lv 82 4 0 26 Jan 2024
On The Temporal Domain of Differential Equation Inspired Graph Neural Networks Moshe Eliasof E. Haber Eran Treister Carola-Bibiane Schönlieb AI4CE 130 4 0 20 Jan 2024
Distribution Consistency based Self-Training for Graph Neural Networks with Sparse Labels Fali Wang Tianxiang Zhao Suhang Wang 83 10 0 18 Jan 2024
Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classification Yutong Xia Runpeng Yu Yuxuan Liang Xavier Bresson Xinchao Wang Roger Zimmermann 97 4 0 18 Jan 2024