GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily

29 October 2021

Papers citing "GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily"

50 / 58 papers shown

Title
GRAIN: Multi-Granular and Implicit Information Aggregation Graph Neural Network for Heterophilous Graphs Songwei Zhao Yuan Jiang Zijing Zhang Yang Yu Hechang Chen 19 0 0 09 Apr 2025
Rethinking Graph Structure Learning in the Era of LLMs Zhihan Zhang Xunkai Li Guang Zeng Hongchao Qin R. Li Guoren Wang 41 0 0 27 Mar 2025
Recent Advances in Malware Detection: Graph Learning and Explainability Hossein Shokouhinejad Roozbeh Razavi-Far Hesamodin Mohammadian Mahdi Rabbani Samuel Ansong Griffin Higgins Ali Ghorbani AAML 65 2 0 14 Feb 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 82 0 0 21 Dec 2024
Graph as a feature: improving node classification with non-neural graph-aware logistic regression Simon Delarue Thomas Bonald Tiphaine Viard 66 0 0 19 Nov 2024
Unveiling the Impact of Local Homophily on GNN Fairness: In-Depth Analysis and New Benchmarks Donald Loveland Danai Koutra 23 1 0 05 Oct 2024
DuoGNN: Topology-aware Graph Neural Network with Homophily and Heterophily Interaction-Decoupling K. Mancini I. Rekik 31 1 0 29 Sep 2024
Flexible Diffusion Scopes with Parameterized Laplacian for Heterophilic Graph Learning Qincheng Lu Jiaqi Zhu Sitao Luan Xiao-Wen Chang 23 2 0 15 Sep 2024
Are Heterophily-Specific GNNs and Homophily Metrics Really Effective? Evaluation Pitfalls and New Benchmarks Sitao Luan Qincheng Lu Chenqing Hua X. Wang Jiaqi Zhu Xiao-Wen Chang Guy Wolf Jian Tang 57 2 0 09 Sep 2024
Exploring the Potential of Large Language Models for Heterophilic Graphs Yuxia Wu Shujie Li Yuan Fang Chuan Shi 32 1 0 26 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 31 0 0 09 Aug 2024
Are Your Models Still Fair? Fairness Attacks on Graph Neural Networks via Node Injections Zihan Luo Hong Huang Yongkang Zhou Jiping Zhang Nuo Chen 24 1 0 05 Jun 2024
Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters Y. Lin Ronen Talmon Ron Levie 28 0 0 03 Jun 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 48 0 0 31 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 58 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 24 1 0 25 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 33 8 0 26 Apr 2024
FedSI: Federated Subnetwork Inference for Efficient Uncertainty Quantification Hui Chen Hengyu Liu Zhangkai Wu Xuhui Fan LongBing Cao FedML 23 2 0 24 Apr 2024
Contextualized Messages Boost Graph Representations Brian Godwin Lim Galvin Brice Lim Renzo Roel Tan Kazushi Ikeda AI4CE 49 1 0 19 Mar 2024
Semantic-Enhanced Representation Learning for Road Networks with Temporal Dynamics Yile Chen Xiucheng Li Gao Cong Zhifeng Bao Cheng Long 14 2 0 18 Mar 2024
Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs M. Park Jaeseung Heo Dongwoo Kim 22 0 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 21 2 0 07 Mar 2024
Representation Learning on Heterophilic Graph with Directional Neighborhood Attention Qincheng Lu Jiaqi Zhu Sitao Luan Xiaomeng Chang 24 5 0 03 Mar 2024
AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity Xunkai Li Zhengyu Wu Wentao Zhang Henan Sun Ronghua Li Guoren Wang FedML 23 1 0 22 Jan 2024
GraphRARE: Reinforcement Learning Enhanced Graph Neural Network with Relative Entropy Tianhao Peng Wenjun Wu Haitao Yuan Zhifeng Bao Pengrui Zhao Xin Yu Xuetao Lin Yu Liang Yanjun Pu 20 10 0 15 Dec 2023
Breaking the Entanglement of Homophily and Heterophily in Semi-supervised Node Classification Henan Sun Xunkai Li Zhengyu Wu Daohan Su Ronghua Li Guoren Wang 20 12 0 07 Dec 2023
A Quasi-Wasserstein Loss for Learning Graph Neural Networks Minjie Cheng Hongteng Xu 17 1 0 18 Oct 2023
Heterophily-Based Graph Neural Network for Imbalanced Classification Zirui Liang Yuntao Li Tianjin Huang A. Saxena Yulong Pei Mykola Pechenizkiy 27 0 0 12 Oct 2023
How Graph Neural Networks Learn: Lessons from Training Dynamics Chenxiao Yang Qitian Wu David Wipf Ruoyu Sun Junchi Yan AI4CE GNN 14 1 0 08 Oct 2023
Evolving Computation Graphs Andreea Deac Jian Tang 12 1 0 22 Jun 2023
Spatial Heterophily Aware Graph Neural Networks Congxi Xiao Jingbo Zhou Jizhou Huang Tong Bill Xu Hui Xiong 16 5 0 21 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 23 5 0 08 Jun 2023
Clarify Confused Nodes via Separated Learning Jiajun Zhou Sheng Gong Chenxuan Xie Shanqing Yu Qi Xuan Xiaoniu Yang Xiaoniu Yang 29 3 0 04 Jun 2023
Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All? Haitao Mao Zhikai Chen Wei Jin Haoyu Han Yao Ma Tong Zhao Neil Shah Jiliang Tang 21 19 0 02 Jun 2023
Graph Neural Convection-Diffusion with Heterophily Kai Zhao Qiyu Kang Yang Song Rui She Sijie Wang Wee Peng Tay 20 27 0 26 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 15 3 0 22 May 2023
A Fractional Graph Laplacian Approach to Oversmoothing Sohir Maskey Raffaele Paolino Aras Bacho Gitta Kutyniok 20 27 0 22 May 2023
GCNH: A Simple Method For Representation Learning On Heterophilous Graphs Andrea Cavallo Claas Grohnfeldt Michele Russo Giulio Lovisotto L. Vassio 13 6 0 21 Apr 2023
Towards Open Temporal Graph Neural Networks Kaituo Feng Changsheng Li Xiaolu Zhang Jun Zhou AI4CE 14 15 0 27 Mar 2023
A critical look at the evaluation of GNNs under heterophily: Are we really making progress? Oleg Platonov Denis Kuznedelev Michael Diskin Artem Babenko Liudmila Prokhorenkova 10 187 0 22 Feb 2023
Diffusion Probabilistic Models for Structured Node Classification Hyosoon Jang Seonghyun Park Sangwoo Mo Sungsoo Ahn DiffM 12 3 0 21 Feb 2023
Homophily-oriented Heterogeneous Graph Rewiring Jiayan Guo Lun Du Wendong Bi Qiang Fu Xiaojun Ma Xu Chen Shi Han Dongmei Zhang Yan Zhang 16 26 0 13 Feb 2023
Heterophily-Aware Graph Attention Network Junfu Wang Yuanfang Guo Liang Yang Yun-an Wang 11 2 0 07 Feb 2023
Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural Network Wendong Bi Bingbing Xu Xiaoqian Sun Li Xu Huawei Shen Xueqi Cheng 12 16 0 02 Feb 2023
Neighborhood Homophily-based Graph Convolutional Network Sheng Gong Jiajun Zhou Chenxuan Xie Qi Xuan GNN 14 7 0 24 Jan 2023
Enhancing Intra-class Information Extraction for Heterophilous Graphs: One Neural Architecture Search Approach Lanning Wei Zhiqiang He Huan Zhao Quanming Yao 9 1 0 20 Nov 2022
Make Heterophily Graphs Better Fit GNN: A Graph Rewiring Approach Wendong Bi Lun Du Qiang Fu Yanlin Wang Shi Han Dongmei Zhang 22 27 0 17 Sep 2022
Learning Rate Perturbation: A Generic Plugin of Learning Rate Schedule towards Flatter Local Minima Hengyu Liu Qiang Fu Lun Du Tiancheng Zhang Gensitskiy Yu. Shi Han Dongmei Zhang 118 3 0 25 Aug 2022
MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature Distribution Wendong Bi Lun Du Qiang Fu Yanlin Wang Shi Han Dongmei Zhang GNN 10 18 0 15 Aug 2022
Revisiting the role of heterophily in graph representation learning: An edge classification perspective Jincheng Huang P. Li Ruifang Huang Chen Na Acong Zhang 35 13 0 23 May 2022