Non-Local Graph Neural Networks

29 May 2020

Papers citing "Non-Local Graph Neural Networks"

50 / 91 papers shown

Title
Heterophily-informed Message Passing Haishan Wang Arno Solin Vikas K. Garg 27 0 0 28 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 37 0 0 16 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
Using Subgraph GNNs for Node Classification:an Overlooked Potential Approach Qian Zeng Xin Lin Jingyi Gao Yang Yu 68 0 0 09 Mar 2025
Partitioning Message Passing for Graph Fraud Detection Wei Zhuo Zemin Liu Bryan Hooi Bingsheng He Guang Tan Rizal Fathony Jia Chen 118 15 0 16 Nov 2024
Labor Migration Modeling through Large-scale Job Query Data Zhuoning Guo Le Zhang Hengshu Zhu Weijia Zhang Hui Xiong Hao Liu AI4TS 15 0 0 03 Oct 2024
ClassContrast: Bridging the Spatial and Contextual Gaps for Node Representations Md Joshem Uddin Astrit Tola Varin Sikand Cüneyt Gürcan Akçora Baris Coskunuzer 29 1 0 03 Oct 2024
Flexible Diffusion Scopes with Parameterized Laplacian for Heterophilic Graph Learning Qincheng Lu Jiaqi Zhu Sitao Luan Xiao-Wen Chang 28 2 0 15 Sep 2024
Representation Learning of Complex Assemblies, An Effort to Improve Corporate Scope 3 Emissions Calculation Ajay Chatterjee Srikanth Ranganathan 39 0 0 21 Aug 2024
Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training Yonghao Liu Mengyu Li Ximing Li Lan Huang Fausto Giunchiglia Yanchun Liang Xiaoyue Feng Renchu Guan SSL 36 4 0 20 Jul 2024
SPIN: SE(3)-Invariant Physics Informed Network for Binding Affinity Prediction Seungyeon Choi Sangmin Seo Sanghyun Park 32 0 0 10 Jul 2024
Foundations and Frontiers of Graph Learning Theory Yu Huang Min Zhou Menglin Yang Zhen Wang Muhan Zhang Jie Wang Hong Xie Hao Wang Defu Lian Enhong Chen AI4CE GNN 52 2 0 03 Jul 2024
A Unified Framework for Combinatorial Optimization Based on Graph Neural Networks Yaochu Jin Xueming Yan Shiqing Liu Xiangyu Wang 44 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 32 4 0 18 Jun 2024
Probabilistic Graph Rewiring via Virtual Nodes Chendi Qian Andrei Manolache Christopher Morris Mathias Niepert AI4CE 38 3 0 27 May 2024
AGS-GNN: Attribute-guided Sampling for Graph Neural Networks Siddhartha Shankar Das S. Ferdous M. Halappanavar Edoardo Serra A. Pothen 31 2 0 24 May 2024
LOGIN: A Large Language Model Consulted Graph Neural Network Training Framework Yiran Qiao Xiang Ao Yang Liu Jiarong Xu Xiaoqian Sun Qing He 29 3 0 22 May 2024
Generation is better than Modification: Combating High Class Homophily Variance in Graph Anomaly Detection Rui Zhang Dawei Cheng Xin Liu Jie Yang Ouyang Yi Xian Wu Yefeng Zheng 47 3 0 15 Mar 2024
Self-Attention Empowered Graph Convolutional Network for Structure Learning and Node Embedding Mengying Jiang Guizhong Liu Yuanchao Su Xinliang Wu GNN SSL 32 2 0 06 Mar 2024
Representation Learning on Heterophilic Graph with Directional Neighborhood Attention Qincheng Lu Jiaqi Zhu Sitao Luan Xiaomeng Chang 31 6 0 03 Mar 2024
Disambiguated Node Classification with Graph Neural Networks Tianxiang Zhao Xiang Zhang Suhang Wang AI4CE 24 2 0 13 Feb 2024
NetInfoF Framework: Measuring and Exploiting Network Usable Information Meng-Chieh Lee Haiyang Yu Jian Zhang V. Ioannidis Xiang Song Soji Adeshina Da Zheng Christos Faloutsos 14 1 0 12 Feb 2024
Understanding Heterophily for Graph Neural Networks Junfu Wang Yuanfang Guo Liang Yang Yun-an Wang 28 10 0 17 Jan 2024
Rethinking Spectral Graph Neural Networks with Spatially Adaptive Filtering Jingwei Guo Kaizhu Huang Xinping Yi Zixian Su Rui Zhang 24 3 0 17 Jan 2024
Refining Latent Homophilic Structures over Heterophilic Graphs for Robust Graph Convolution Networks Chenyang Qiu Gu Nan Tianyu Xiong Wendi Deng Di Wang Zhiyang Teng Lijuan Sun Qimei Cui Xiaofeng Tao 17 5 0 27 Dec 2023
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 35 10 0 15 Dec 2023
CAT: A Causally Graph Attention Network for Trimming Heterophilic Graph Silu He Qinyao Luo Xinsha Fu Ling Zhao Ronghua Du Haifeng Li 36 8 0 14 Dec 2023
Probabilistically Rewired Message-Passing Neural Networks Chendi Qian Andrei Manolache Kareem Ahmed Zhe Zeng Guy Van den Broeck Mathias Niepert Christopher Morris 36 12 0 03 Oct 2023
ZeroI2V: Zero-Cost Adaptation of Pre-trained Transformers from Image to Video Xinhao Li Yuhan Zhu Limin Wang VLM 27 8 0 02 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 28 0 0 02 Oct 2023
Curve Your Attention: Mixed-Curvature Transformers for Graph Representation Learning Sungjun Cho Seunghyuk Cho Sungwoo Park Hankook Lee Ho Hin Lee Moontae Lee 22 6 0 08 Sep 2023
Mitigating Semantic Confusion from Hostile Neighborhood for Graph Active Learning Tianmeng Yang Min Zhou Yujing Wang Zhe-Min Lin Lujia Pan Bin Cui Yu Tong AAML 26 3 0 17 Aug 2023
MUSE: Multi-View Contrastive Learning for Heterophilic Graphs Mengyi Yuan Minjie Chen Xiangci Li SSL 23 8 0 29 Jul 2023
Shared Growth of Graph Neural Networks via Prompted Free-direction Knowledge Distillation Kaituo Feng Yikun Miao Changsheng Li Ye Yuan Guoren Wang 24 0 0 02 Jul 2023
Diffusion-Jump GNNs: Homophiliation via Learnable Metric Filters Ahmed Begga Francisco Escolano M. Lozano Edwin R. Hancock 18 2 0 29 Jun 2023
On Addressing the Limitations of Graph Neural Networks Sitao Luan GNN 21 5 0 22 Jun 2023
Spatial Heterophily Aware Graph Neural Networks Congxi Xiao Jingbo Zhou Jizhou Huang Tong Bill Xu Hui Xiong 26 5 0 21 Jun 2023
P-tensors: a General Formalism for Constructing Higher Order Message Passing Networks Tianyi Sun Andrew R. Hands Risi Kondor 13 2 0 19 Jun 2023
Multi-Temporal Relationship Inference in Urban Areas Shuangli Li Jingbo Zhou Ji Liu Tong Bill Xu Enhong Chen Hui Xiong 27 3 0 15 Jun 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 27 4 0 22 May 2023
Graph Propagation Transformer for Graph Representation Learning Zhe Chen Hao Hao Tan Tao Wang Tianrun Shen Tong Lu Qiuying Peng Cheng Cheng Yue Qi 27 11 0 19 May 2023
Ewald-based Long-Range Message Passing for Molecular Graphs Arthur Kosmala Johannes Gasteiger Nicholas Gao Stephan Günnemann 66 25 0 08 Mar 2023
Finding Heterophilic Neighbors via Confidence-based Subgraph Matching for Semi-supervised Node Classification Yoonhyuk Choi Jiho Choi Taewook Ko Chong-Kwon Kim 16 8 0 20 Feb 2023
Heterophily-Aware Graph Attention Network Junfu Wang Yuanfang Guo Liang Yang Yun-an Wang 11 2 0 07 Feb 2023
A Graph Neural Network with Negative Message Passing for Graph Coloring Xiangyu Wang Xueming Yan Yaochu Jin 15 7 0 26 Jan 2023
Neighborhood Homophily-based Graph Convolutional Network Sheng Gong Jiajun Zhou Chenxuan Xie Qi Xuan GNN 18 7 0 24 Jan 2023
Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Neural Networks Sitao Luan Mingde Zhao Chenqing Hua X. Chang Doina Precup GNN 13 32 0 21 Dec 2022
A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks X. Wu Zhengdao Chen W. Wang Ali Jadbabaie 19 38 0 21 Dec 2022
Node-oriented Spectral Filtering for Graph Neural Networks Shuai Zheng Zhenfeng Zhu Zhizhe Liu Youru Li Yao-Min Zhao 20 16 0 07 Dec 2022
When Do We Need Graph Neural Networks for Node Classification? Sitao Luan Chenqing Hua Qincheng Lu Jiaqi Zhu Xiaoming Chang Doina Precup 30 0 0 30 Oct 2022