Finding Global Homophily in Graph Neural Networks When Meeting Heterophily

15 May 2022

Xiang Li

Papers citing "Finding Global Homophily in Graph Neural Networks When Meeting Heterophily"

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Title
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Zihan Chen Xingbo Fu Yushun Dong Jundong Li Cong Shen FedML 69 0 0 29 Apr 2025
Heterophily-informed Message Passing Haishan Wang Arno Solin Vikas K. Garg 27 0 0 28 Apr 2025
A Generative Graph Contrastive Learning Model with Global Signal Xiaofan Wei Binyan Zhang 158 0 0 25 Apr 2025
Efficient Learning on Large Graphs using a Densifying Regularity Lemma Jonathan Kouchly Ben Finkelshtein M. Bronstein Ron Levie 39 0 0 25 Apr 2025
H $^3$ GNNs: Harmonizing Heterophily and Homophily in GNNs via Joint Structural Node Encoding and Self-Supervised Learning Rui Xue Tianfu Wu AI4CE 40 0 0 16 Apr 2025
Using Subgraph GNNs for Node Classification:an Overlooked Potential Approach Qian Zeng Xin Lin Jingyi Gao Yang Yu 73 0 0 09 Mar 2025
Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs Yuhan Chen Yihong Luo Yifan Song Pengwen Dai Jing Tang Xiaochun Cao OODD 46 1 0 25 Feb 2025
Rethinking Tokenized Graph Transformers for Node Classification Jinsong Chen Chenyang Li Gaichao Li J. Hopcroft Kun He 59 0 0 12 Feb 2025
Aggregate to Adapt: Node-Centric Aggregation for Multi-Source-Free Graph Domain Adaptation Zhen Zhang Bingsheng He 106 2 0 05 Feb 2025
DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach Qin Chen Liang Wang Bo Zheng Guojie Song 36 2 0 28 Jan 2025
MADE: Graph Backdoor Defense with Masked Unlearning Xiao Lin amd Mingjie Li Mingjie Li Yisen Wang AAML 95 1 0 03 Jan 2025
Humans as a Calibration Pattern: Dynamic 3D Scene Reconstruction from Unsynchronized and Uncalibrated Videos Changwoon Choi Jeongjun Kim Geonho Cha Minkwan Kim Dongyoon Wee Young Min Kim 3DH 47 0 0 26 Dec 2024
THeGCN: Temporal Heterophilic Graph Convolutional Network Yuchen Yan Yuzhong Chen Huiyuan Chen Xiaoting Li Zhe Xu Zhichen Zeng Lihui Liu Zhining Liu Hanghang Tong 84 0 0 21 Dec 2024
Training MLPs on Graphs without Supervision Zehong Wang Zheyuan Zhang Chuxu Zhang Yanfang Ye 70 5 0 05 Dec 2024
Mixture of Experts for Node Classification Yu Shi Yiqi Wang WeiXuan Lang Jiaxin Zhang Pan Dong Aiping Li 183 0 0 30 Nov 2024
Even Sparser Graph Transformers Hamed Shirzad Honghao Lin B. Venkatachalam A. Velingker David P. Woodruff Danica J. Sutherland GNN 96 3 0 25 Nov 2024
Towards Dynamic Message Passing on Graphs Junshu Sun Chenxue Yang Xiangyang Ji Qingming Huang Shuhui Wang 37 0 0 31 Oct 2024
Rethinking Graph Transformer Architecture Design for Node Classification Jiajun Zhou Xuanze Chen Chenxuan Xie Yu Shanqing Qi Xuan Xiaoniu Yang 26 0 0 15 Oct 2024
BSG4Bot: Efficient Bot Detection based on Biased Heterogeneous Subgraphs Hao Miao Zida Liu Jun Gao 27 0 0 07 Oct 2024
ClassContrast: Bridging the Spatial and Contextual Gaps for Node Representations Md Joshem Uddin Astrit Tola Varin Sikand Cüneyt Gürcan Akçora Baris Coskunuzer 34 1 0 03 Oct 2024
Preventing Representational Rank Collapse in MPNNs by Splitting the Computational Graph Andreas Roth Franka Bause Nils M. Kriege Thomas Liebig 33 3 0 17 Sep 2024
Flexible Diffusion Scopes with Parameterized Laplacian for Heterophilic Graph Learning Qincheng Lu Jiaqi Zhu Sitao Luan Xiao-Wen Chang 33 2 0 15 Sep 2024
Neural Message Passing Induced by Energy-Constrained Diffusion Qitian Wu David Wipf Junchi Yan DiffM 52 1 0 13 Sep 2024
Learning Personalized Scoping for Graph Neural Networks under Heterophily Gangda Deng Hongkuan Zhou R. Kannan Viktor Prasanna 38 0 0 11 Sep 2024
Learning to Model Graph Structural Information on MLPs via Graph Structure Self-Contrasting Lirong Wu Haitao Lin Guojiang Zhao Cheng Tan Stan Z. Li 28 0 0 09 Sep 2024
Re-evaluating the Advancements of Heterophilic Graph Learning Sitao Luan Qincheng Lu Chenqing Hua Xihuai Wang Jiaqi Zhu X. Chang 57 2 0 09 Sep 2024
Exploring the Potential of Large Language Models for Heterophilic Graphs Yuxia Wu Shujie Li Yuan Fang Chuan Shi 41 1 0 26 Aug 2024
Leveraging Invariant Principle for Heterophilic Graph Structure Distribution Shifts Jinluan Yang Zhengyu Chen Teng Xiao Wenqiao Zhang Yong Lin Kun Kuang 53 1 0 18 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 48 0 0 09 Aug 2024
When Heterophily Meets Heterogeneity: New Graph Benchmarks and Effective Methods Junhong Lin Xiaojie Guo Shuaicheng Zhang Dawei Zhou Yada Zhu Julian Shun 38 1 0 15 Jul 2024
SlideGCD: Slide-based Graph Collaborative Training with Knowledge Distillation for Whole Slide Image Classification Tong Shu Jun Shi Dongdong Sun Zhiguo Jiang Yushan Zheng 28 1 0 12 Jul 2024
Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers Jinsong Chen Hanpeng Liu J. Hopcroft Kun He 41 1 0 27 Jun 2024
NTFormer: A Composite Node Tokenized Graph Transformer for Node Classification Jinsong Chen Siyu Jiang Kun He 44 1 0 27 Jun 2024
What Is Missing In Homophily? Disentangling Graph Homophily For Graph Neural Networks Yilun Zheng Sitao Luan Lihui Chen 44 5 0 27 Jun 2024
LangTopo: Aligning Language Descriptions of Graphs with Tokenized Topological Modeling Zhong Guan Hongke Zhao Likang Wu Ming He Jianpin Fan 40 3 0 19 Jun 2024
The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs Kun Wang Guibin Zhang Xinnan Zhang Junfeng Fang Xun Wu Guohao Li Shirui Pan Wei-Ming Huang Yuxuan Liang 38 4 0 18 Jun 2024
Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification Yuankai Luo Lei Shi Xiao-Ming Wu 37 16 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 42 5 0 05 Jun 2024
Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters Y. Lin Ronen Talmon Ron Levie 39 0 0 03 Jun 2024
Learning on Large Graphs using Intersecting Communities Ben Finkelshtein .Ismail .Ilkan Ceylan Michael M. Bronstein Ron Levie GNN 35 5 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 53 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 31 2 0 30 May 2024
Revisiting the Message Passing in Heterophilous Graph Neural Networks Zhuonan Zheng Yuan-Qi Bei Sheng Zhou Yao Ma Ming Gu Hongjia Xu Chengyu Lai Jiawei Chen Jiajun Bu 70 0 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 34 1 0 25 May 2024
AGS-GNN: Attribute-guided Sampling for Graph Neural Networks Siddhartha Shankar Das S. Ferdous M. Halappanavar Edoardo Serra A. Pothen 39 2 0 24 May 2024
How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing Keke Huang Yu Guang Wang Ming Li Pietro Lió 44 21 0 21 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 43 8 0 26 Apr 2024
Guarding Graph Neural Networks for Unsupervised Graph Anomaly Detection Yuan-Qi Bei Sheng Zhou Jinke Shi Yao Ma Haishuai Wang Jiajun Bu 29 1 0 25 Apr 2024
Spectral GNN via Two-dimensional (2-D) Graph Convolution Guoming Li Jian Yang Shangsong Liang Dongsheng Luo GNN 41 2 0 06 Apr 2024
Graph Neural Aggregation-diffusion with Metastability Kaiyuan Cui Xinyan Wang Zicheng Zhang Weichen Zhao 39 2 0 29 Mar 2024