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"

43 / 43 papers shown

Title
Soft causal learning for generalized molecule property prediction: An environment perspective Limin Li Kuo Yang Wenjie Du Pengkun Wang Zhengyang Zhou Yang Wang OOD AI4CE 56 0 0 07 May 2025
Toward Data-centric Directed Graph Learning: An Entropy-driven Approach Xunkai Li Zhengyu Wu Kaichi Yu Hongchao Qin Guang Zeng Rong-Hua Li Guoren Wang 35 0 0 02 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 69 0 0 29 Apr 2025
MKE-Coder: Multi-Axial Knowledge with Evidence Verification in ICD Coding for Chinese EMRs Xinxin You Xien Liu Xue Yang Ziyi Wang Ji Wu 49 0 0 19 Feb 2025
Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment Shuo Wang Bokui Wang Zhixiang Shen Boyan Deng Zhao Kang 98 1 0 04 Feb 2025
Graph Condensation: A Survey Xin Gao Junliang Yu Wei Jiang Tong Chen Wentao Zhang Hongzhi Yin DD 91 19 0 28 Jan 2025
Toward Scalable Graph Unlearning: A Node Influence Maximization based Approach Xunkai Li Bowen Fan Zhengyu Wu Zhiyu Li Rong-Hua Li Guoren Wang MU 32 0 0 21 Jan 2025
THeGCN: Temporal Heterophilic Graph Convolutional Network Yuchen Yan Yuzhong Chen Huiyuan Chen Xiaoting Li Zhe Xu Zhichen Zeng Lihui Liu Zhining Liu Hanghang Tong 86 0 0 21 Dec 2024
HiMoE: Heterogeneity-Informed Mixture-of-Experts for Fair Spatial-Temporal Forecasting Shaohan Yu Pan Deng Yu Zhao J. Liu Ziáng Wang MoE 182 0 0 30 Nov 2024
Simplifying complex machine learning by linearly separable network embedding spaces Alexandros Xenos N. Malod-Dognin Natasa Przulj 20 0 0 02 Oct 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
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 51 5 0 01 Aug 2024
Unleash Graph Neural Networks from Heavy Tuning Lequan Lin Dai Shi Andi Han Zhiyong Wang Junbin Gao AI4CE 27 2 0 21 May 2024
Continual Learning on Graphs: A Survey Zonggui Tian Duanhao Zhang Hong-Ning Dai 47 5 0 09 Feb 2024
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 17 2 0 26 Sep 2023
TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning Jing Zhu Xiang Song V. Ioannidis Danai Koutra Christos Faloutsos 62 13 0 25 Sep 2023
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications Yi Zhang Yuying Zhao Zhaoqing Li Xueqi Cheng Yu-Chiang Frank Wang Olivera Kotevska Philip S. Yu Tyler Derr 26 10 0 31 Aug 2023
Graph Structure from Point Clouds: Geometric Attention is All You Need D. Murnane GNN 3DPC 8 4 0 31 Jul 2023
A Neural Collapse Perspective on Feature Evolution in Graph Neural Networks Vignesh Kothapalli Tom Tirer Joan Bruna 36 10 0 04 Jul 2023
Clarify Confused Nodes via Separated Learning Jiajun Zhou Sheng Gong Chenxuan Xie Shanqing Yu Qi Xuan Xiaoniu Yang Xiaoniu Yang 81 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 43 28 0 29 May 2023
Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection Hezhe Qiao Guansong Pang 19 24 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 34 1 0 25 May 2023
Multi-View Graph Representation Learning Beyond Homophily Bei Lin You Li Ning Gui Zhuopeng Xu Zhiwu Yu SSL 25 6 0 15 Apr 2023
Enhancing Intra-class Information Extraction for Heterophilous Graphs: One Neural Architecture Search Approach Lanning Wei Zhiqiang He Huan Zhao Quanming Yao 19 1 0 20 Nov 2022
Clenshaw Graph Neural Networks Y. Guo Zhewei Wei GNN 58 10 0 29 Oct 2022
Simple and Efficient Heterogeneous Graph Neural Network Xiaocheng Yang Yurui Lai Shirui Pan Xiaochun Ye Xiaochun Ye 56 123 0 06 Jul 2022
Optimization-Induced Graph Implicit Nonlinear Diffusion Qi Chen Yifei Wang Yisen Wang Jiansheng Yang Zhouchen Lin DiffM 48 32 0 29 Jun 2022
Beyond Real-world Benchmark Datasets: An Empirical Study of Node Classification with GNNs Seiji Maekawa Koki Noda Yuya Sasaki Makoto Onizuka 22 21 0 18 Jun 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Xingliang Yuan Shirui Pan Hanghang Tong Jian Pei 45 104 0 16 May 2022
Exploiting Neighbor Effect: Conv-Agnostic GNNs Framework for Graphs with Heterophily Jie Chen Shouzhen Chen Junbin Gao Zengfeng Huang Junping Zhang Jian Pu 47 23 0 19 Mar 2022
Incorporating Heterophily into Graph Neural Networks for Graph Classification Jiayi Yang Sourav Medya Wei Ye 26 4 0 15 Mar 2022
Projective Ranking-based GNN Evasion Attacks He Zhang Xingliang Yuan Chuan Zhou Shirui Pan AAML 39 23 0 25 Feb 2022
Memory-based Message Passing: Decoupling the Message for Propogation from Discrimination Jie Chen Weiqi Liu Jianghuai Pu 26 10 0 01 Feb 2022
GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks Chenhui Deng Xiuyu Li Zhuobo Feng Zhiru Zhang AAML 53 22 0 30 Jan 2022
Exact Representation of Sparse Networks with Symmetric Nonnegative Embeddings Sudhanshu Chanpuriya Ryan A. Rossi Anup B. Rao Tung Mai Nedim Lipka Zhao-quan Song Cameron Musco 15 4 0 04 Nov 2021
Label-Wise Graph Convolutional Network for Heterophilic Graphs Enyan Dai Shijie Zhou Zhimeng Guo Suhang Wang 45 18 0 15 Oct 2021
Beyond Low-frequency Information in Graph Convolutional Networks Deyu Bo Xiao Wang C. Shi Huawei Shen GNN 94 562 0 04 Jan 2021
Graph Geometry Interaction Learning Shichao Zhu Shirui Pan Chuan Zhou Jia Wu Yanan Cao Bin Wang 71 90 0 23 Oct 2020
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 169 1,078 0 13 Feb 2020
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 148 837 0 28 Sep 2019
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 267 1,945 0 09 Jun 2018