Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing

3 February 2023

Xinbing Wang

Papers citing "Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing"

42 / 42 papers shown

Title
Wide & Deep Learning for Node Classification Yancheng Chen Wenguo Yang Zhipeng Jiang GNN 24 0 0 04 May 2025
A Generative Graph Contrastive Learning Model with Global Signal Xiaofan Wei Binyan Zhang 49 0 0 25 Apr 2025
Simplifying Graph Convolutional Networks with Redundancy-Free Neighbors Jielong Lu Zhihao Wu Zhiling Cai Yueyang Pi Shiping Wang GNN 49 0 0 18 Apr 2025
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 39 0 0 27 Mar 2025
Ordered Topological Deep Learning: a Network Modeling Case Study Guillermo Bernardez Miquel Ferriol Galmés Carlos Güemes-Palau Mathilde Papillon Pere Barlet-Ros A. Cabellos-Aparicio Nina Miolane 38 1 0 20 Mar 2025
HeTGB: A Comprehensive Benchmark for Heterophilic Text-Attributed Graphs Shujie Li Yuxia Wu Chuan Shi Yuan Fang 34 0 0 05 Mar 2025
Channel-Attentive Graph Neural Networks Tuğrul Hasan Karabulut İnci M. Baytaş 31 0 0 01 Mar 2025
Rewiring Techniques to Mitigate Oversquashing and Oversmoothing in GNNs: A Survey Hugo Attali Davide Buscaldi Nathalie Pernelle AI4CE 61 1 0 26 Nov 2024
Best of Both Worlds: Advantages of Hybrid Graph Sequence Models Ali Behrouz Ali Parviz Mahdi Karami Clayton Sanford Bryan Perozzi Vahab Mirrokni 79 2 0 23 Nov 2024
Dual-Frequency Filtering Self-aware Graph Neural Networks for Homophilic and Heterophilic Graphs Yachao Yang Yanfeng Sun Jipeng Guo Junbin Gao Shaofan Wang Fujiao Ju Baocai Yin 27 0 0 18 Nov 2024
SiMilarity-Enhanced Homophily for Multi-View Heterophilous Graph Clustering Jianpeng Chen Yawen Ling Yazhou Ren Zichen Wen Tianyi Wu Shufei Zhang Lifang He 14 0 0 04 Oct 2024
Exploring the Potential of Large Language Models for Heterophilic Graphs Yuxia Wu Shujie Li Yuan Fang Chuan Shi 29 1 0 26 Aug 2024
When Heterophily Meets Heterogeneity: New Graph Benchmarks and Effective Methods Junhong Lin Xiaojie Guo Shuaicheng Zhang Dawei Zhou Yada Zhu Julian Shun 33 1 0 15 Jul 2024
SF-GNN: Self Filter for Message Lossless Propagation in Deep Graph Neural Network Yushan Zhu Wen Zhang Yajing Xu Zhen Yao Mingyang Chen Huajun Chen 24 0 0 03 Jul 2024
Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification Yuankai Luo Lei Shi Xiao-Ming Wu 21 1 0 13 Jun 2024
Graph Neural Networks Do Not Always Oversmooth Bastian Epping Alexandre René M. Helias Michael T. Schaub 25 3 0 04 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 31 3 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 55 0 0 28 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 35 16 0 21 May 2024
Graph Machine Learning in the Era of Large Language Models (LLMs) Wenqi Fan Shijie Wang Jiani Huang Zhikai Chen Yu Song ... Haitao Mao Hui Liu Xiaorui Liu Dawei Yin Qing Li AI4CE 24 21 0 23 Apr 2024
Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs M. Park Jaeseung Heo Dongwoo Kim 22 0 0 11 Mar 2024
Polynormer: Polynomial-Expressive Graph Transformer in Linear Time Chenhui Deng Zichao Yue Zhiru Zhang 81 23 0 02 Mar 2024
Graph Mamba: Towards Learning on Graphs with State Space Models Ali Behrouz Farnoosh Hashemi AI4CE 86 57 0 13 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 15 2 0 28 Jan 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
Understanding Heterophily for Graph Neural Networks Junfu Wang Yuanfang Guo Liang Yang Yun-an Wang 13 9 0 17 Jan 2024
Graph Elimination Networks Shuo Wang Ge Cheng Yun Zhang AI4CE GNN 11 0 0 02 Jan 2024
CAT: A Causally Graph Attention Network for Trimming Heterophilic Graph Silu He Qinyao Luo Xinsha Fu Ling Zhao Ronghua Du Haifeng Li 22 8 0 14 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
An Effective Universal Polynomial Basis for Spectral Graph Neural Networks Keke Huang Pietro Lió 11 1 0 30 Nov 2023
DepWiGNN: A Depth-wise Graph Neural Network for Multi-hop Spatial Reasoning in Text Shuaiyi Li Yang Deng Wai Lam 22 2 0 19 Oct 2023
NP $^2$ L: Negative Pseudo Partial Labels Extraction for Graph Neural Networks Xinjie Shen Danyang Wu Jitao Lu Junjie Liang Jin Xu Feiping Nie 17 0 0 02 Oct 2023
From Cluster Assumption to Graph Convolution: Graph-based Semi-Supervised Learning Revisited Zheng Wang H. Ding L. Pan Jianhua Li Zhiguo Gong Philip S. Yu GNN 11 2 0 24 Sep 2023
Feature Transportation Improves Graph Neural Networks Moshe Eliasof E. Haber Eran Treister GNN 26 10 0 29 Jul 2023
Diffusion-Jump GNNs: Homophiliation via Learnable Metric Filters Ahmed Begga Francisco Escolano M. Lozano Edwin R. Hancock 10 2 0 29 Jun 2023
Graph Neural Networks for Graphs with Heterophily: A Survey Xin-Yang Zheng Yi Wang Yixin Liu Ming Li Miao Zhang Di Jin Philip S. Yu Shirui Pan 8 213 0 14 Feb 2022
Graph Neural Networks with Learnable Structural and Positional Representations Vijay Prakash Dwivedi A. Luu T. Laurent Yoshua Bengio Xavier Bresson GNN 179 304 0 15 Oct 2021
Beyond Low-frequency Information in Graph Convolutional Networks Deyu Bo Xiao Wang C. Shi Huawei Shen GNN 84 445 0 04 Jan 2021
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 167 1,058 0 13 Feb 2020
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 139 828 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 220 1,726 0 09 Jun 2018