v1v2v3 (latest)

Graph Neural Networks for Graphs with Heterophily: A Survey

14 February 2022

Philip S. Yu

Papers citing "Graph Neural Networks for Graphs with Heterophily: A Survey"

44 / 44 papers shown

Title
Semi-supervised Graph Anomaly Detection via Robust Homophily Learning Guoguo Ai Hezhe Qiao Hui Yan Guansong Pang 33 0 0 18 Jun 2025
Learning Robust Heterogeneous Graph Representations via Contrastive-Reconstruction under Sparse Semantics Di Lin Wanjing Ren Xuanbin Li Rui Zhang 20 0 0 07 Jun 2025
Boosting Bot Detection via Heterophily-Aware Representation Learning and Prototype-Guided Cluster Discovery Buyun He X. Jiang Qi Wu Hao Liu Yingguang Yang Yong Liao 42 0 0 01 Jun 2025
Partition-wise Graph Filtering: A Unified Perspective Through the Lens of Graph Coarsening Guoming Li Jian Yang Yifan Chen 215 0 0 20 May 2025
It Takes a Graph to Know a Graph: Rewiring for Homophily with a Reference Graph Harel Mendelman Haggai Maron Ronen Talmon 97 0 0 18 May 2025
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Zihan Chen Xingbo Fu Yushun Dong Jundong Li Cong Shen FedML 292 0 0 29 Apr 2025
Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment Shuo Wang Bokui Wang Zhixiang Shen Boyan Deng Zhao Kang 211 2 0 04 Feb 2025
Graph Condensation: A Survey Xin Gao Junliang Yu Wei Jiang Tong Chen Wentao Zhang Hongzhi Yin DD 294 21 0 28 Jan 2025
Toward Scalable Graph Unlearning: A Node Influence Maximization based Approach Miao Hu Bowen Fan Zhengyu Wu Zhiyu Li Rong-Hua Li Guoren Wang MU 86 1 0 21 Jan 2025
Toward Effective Digraph Representation Learning: A Magnetic Adaptive Propagation based Approach Miao Hu Daohan Su Zhengyu Wu Guang Zeng Hongchao Qin Rong-Hua Li Guoren Wang AI4CE 121 0 0 21 Jan 2025
Rethinking Cancer Gene Identification through Graph Anomaly Analysis Yilong Zang Lingfei Ren Yongqian Li Zhikang Wang David Selby Zheng Wang Sebastian Vollmer Hongzhi Yin Jiangning Song Jian Wu 129 1 0 23 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 176 1 0 21 Dec 2024
HiMoE: Heterogeneity-Informed Mixture-of-Experts for Fair Spatial-Temporal Forecasting Shaohan Yu Pan Deng Yu Zhao Jiaheng Liu Ziáng Wang MoE 577 0 0 30 Nov 2024
Deep Graph Anomaly Detection: A Survey and New Perspectives Hezhe Qiao Hanghang Tong Bo An Irwin King Charu Aggarwal Guansong Pang 85 8 0 16 Sep 2024
Exploring the Potential of Large Language Models for Heterophilic Graphs Yuxia Wu Shujie Li Yuan Fang Chuan Shi 147 3 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 116 2 0 18 Aug 2024
Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation Chu Zhao Enneng Yang Yuliang Liang Pengxiang Lan Yuting Liu Jianzhe Zhao Guibing Guo Xingwei Wang OOD DiffM CML 249 8 0 01 Aug 2024
Decoupled Subgraph Federated Learning Javad Aliakbari Johan Ostman Alexandre Graell i Amat FedML 102 0 0 29 Feb 2024
Towards Self-Interpretable Graph-Level Anomaly Detection Yixin Liu Kaize Ding Qinghua Lu Fuyi Li Leo Yu Zhang Shirui Pan 117 54 0 25 Oct 2023
How Graph Neural Networks Learn: Lessons from Training Dynamics Chenxiao Yang Qitian Wu David Wipf Ruoyu Sun Junchi Yan AI4CE GNN 64 1 0 08 Oct 2023
A Comparative Study of Population-Graph Construction Methods and Graph Neural Networks for Brain Age Regression Kyriaki-Margarita Bintsi Tamara T. Mueller Sophie Starck V. Baltatzis A. Hammers Daniel Rueckert 44 2 0 26 Sep 2023
TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning Jing Zhu Xiang Song V. Ioannidis Danai Koutra Christos Faloutsos 176 15 0 25 Sep 2023
Graph Structure from Point Clouds: Geometric Attention is All You Need D. Murnane GNN 3DPC 64 4 0 31 Jul 2023
Spatial Heterophily Aware Graph Neural Networks Congxi Xiao Jingbo Zhou Jizhou Huang Tong Xu Hui Xiong 103 9 0 21 Jun 2023
Clarify Confused Nodes via Separated Learning Jiajun Zhou Sheng Gong Chenxuan Xie Shanqing Yu Qi Xuan Xiaoniu Yang Xiaoniu Yang 190 3 0 04 Jun 2023
Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders Dingsu Wang Yuchen Yan Ruizhong Qiu Yada Zhu Kaiyu Guan A. Margenot Hanghang Tong AI4TS 109 32 0 29 May 2023
Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and Training with Non-Linear Diffusion Dai Shi Zhiqi Shao Yi Guo Qianchuan Zhao Junbin Gao 100 1 0 25 May 2023
Multi-View Graph Representation Learning Beyond Homophily Bei Lin You Li Ning Gui Zhuopeng Xu Zhiwu Yu SSL 95 8 0 15 Apr 2023
Multi-duplicated Characterization of Graph Structures using Information Gain Ratio for Graph Neural Networks Yuga Oishi Ken Kaneiwa 74 1 0 24 Dec 2022
Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating Yixin Liu Yizhen Zheng Daokun Zhang V. Lee Shirui Pan 54 77 0 25 Nov 2022
Enhancing Intra-class Information Extraction for Heterophilous Graphs: One Neural Architecture Search Approach Lanning Wei Zhiqiang He Huan Zhao Quanming Yao 67 1 0 20 Nov 2022
GLINKX: A Scalable Unified Framework For Homophilous and Heterophilous Graphs Marios Papachristou Rishab Goel Frank Portman M. Miller Rong Jin 98 0 0 01 Nov 2022
Clenshaw Graph Neural Networks Y. Guo Zhewei Wei GNN 116 11 0 29 Oct 2022
Link Prediction on Heterophilic Graphs via Disentangled Representation Learning Shijie Zhou Zhimeng Guo Charu C. Aggarwal Xiang Zhang Suhang Wang 72 15 0 03 Aug 2022
Simple and Efficient Heterogeneous Graph Neural Network Xiaocheng Yang Yurui Lai Shirui Pan Xiaochun Ye Xiaochun Ye 140 139 0 06 Jul 2022
Beyond Real-world Benchmark Datasets: An Empirical Study of Node Classification with GNNs Seiji Maekawa Koki Noda Yuya Sasaki Makoto Onizuka 95 21 0 18 Jun 2022
Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination Yizhen Zheng Shirui Pan Vincent C. S. Lee Yu Zheng Philip S. Yu 72 99 0 03 Jun 2022
Simplifying Node Classification on Heterophilous Graphs with Compatible Label Propagation Zhiqiang Zhong Sergey Ivanov Jun Pang 61 9 0 19 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Lizhen Qu Shirui Pan Hanghang Tong Jian Pei 139 110 0 16 May 2022
Unsupervised Network Embedding Beyond Homophily Zhiqiang Zhong Guadalupe Gonzalez Daniele Grattarola Jun Pang OODD GNN 92 6 0 21 Mar 2022
Exploiting Neighbor Effect: Conv-Agnostic GNNs Framework for Graphs with Heterophily Jie Chen Shouzhen Chen Junbin Gao Zengfeng Huang Junping Zhang Jian Pu 105 27 0 19 Mar 2022
Projective Ranking-based GNN Evasion Attacks He Zhang Lizhen Qu Chuan Zhou Shirui Pan AAML 87 24 0 25 Feb 2022
Exact Representation of Sparse Networks with Symmetric Nonnegative Embeddings Sudhanshu Chanpuriya Ryan A. Rossi Anup B. Rao Tung Mai Nedim Lipka Zhao Song Cameron Musco 67 4 0 04 Nov 2021
Adaptive Universal Generalized PageRank Graph Neural Network Eli Chien Jianhao Peng Pan Li O. Milenkovic 299 747 0 14 Jun 2020