Tree Decomposed Graph Neural Network

25 August 2021

Papers citing "Tree Decomposed Graph Neural Network"

31 / 31 papers shown

Title
Heterophily-informed Message Passing Haishan Wang Arno Solin Vikas K. Garg 27 0 0 28 Apr 2025
Effective High-order Graph Representation Learning for Credit Card Fraud Detection Yao Zou Dawei Cheng 52 1 0 03 Mar 2025
Rewiring Techniques to Mitigate Oversquashing and Oversmoothing in GNNs: A Survey Hugo Attali Davide Buscaldi Nathalie Pernelle AI4CE 71 2 0 26 Nov 2024
Multistage non-deterministic classification using secondary concept graphs and graph convolutional networks for high-level feature extraction Masoud Kargar Nasim Jelodari Alireza Assadzadeh GNN 37 0 0 09 Nov 2024
GFT: Graph Foundation Model with Transferable Tree Vocabulary Zehong Wang Zheyuan Zhang Nitesh V. Chawla Chuxu Zhang Yanfang Ye 46 10 0 09 Nov 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
Tackling Oversmoothing in GNN via Graph Sparsification: A Truss-based Approach Tanvir Hossain Khaled Mohammed Saifuddin Muhammad Ifte Khairul Islam Farhan Tanvir Esra Akbas 30 0 0 16 Jul 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 38 4 0 18 Jun 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 49 3 0 15 Mar 2024
Disambiguated Node Classification with Graph Neural Networks Tianxiang Zhao Xiang Zhang Suhang Wang AI4CE 32 2 0 13 Feb 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
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
Cloud-RAIN: Point Cloud Analysis with Reflectional Invariance Yiming Cui Lecheng Ruan Hang Dong Qiang Li Zhongming Wu T. Zeng Fengyu Fan 3DPC 35 0 0 13 May 2023
Beyond Homophily: Reconstructing Structure for Graph-agnostic Clustering Erlin Pan Zhao Kang 37 35 0 03 May 2023
Detecting Socially Abnormal Highway Driving Behaviors via Recurrent Graph Attention Networks Yue Hu Yuhang Zhang Yanbing Wang D. Work GNN 24 7 0 23 Apr 2023
GCNH: A Simple Method For Representation Learning On Heterophilous Graphs Andrea Cavallo Claas Grohnfeldt Michele Russo Giulio Lovisotto L. Vassio 28 10 0 21 Apr 2023
Hierarchical and Contrastive Representation Learning for Knowledge-aware Recommendation Bingchao Wu Yang-Yang Kang Daoguang Zan Bei Guan Yongji Wang 21 1 0 15 Apr 2023
Road Network Representation Learning: A Dual Graph based Approach Li Zhang Cheng Long AI4TS GNN 16 11 0 13 Apr 2023
GPNet: Simplifying Graph Neural Networks via Multi-channel Geometric Polynomials Xun Liu Alex Hay-Man Ng Fangyu Lei Yikuan Zhang Zhengmin Li GNN 22 2 0 30 Sep 2022
Collaboration-Aware Graph Convolutional Network for Recommender Systems Yu-Chiang Frank Wang Yuying Zhao Yi Zhang Tyler Derr GNN 32 61 0 03 Jul 2022
On Structural Explanation of Bias in Graph Neural Networks Yushun Dong Song Wang Yu-Chiang Frank Wang Tyler Derr Jundong Li 37 23 0 24 Jun 2022
Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage Yu-Chiang Frank Wang Yuying Zhao Yushun Dong Huiyuan Chen Jundong Li Tyler Derr 25 80 0 07 Jun 2022
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 26 216 0 14 Feb 2022
MGNN: Graph Neural Networks Inspired by Distance Geometry Problem Guanyu Cui Zhewei Wei 27 8 0 31 Jan 2022
A Piece-wise Polynomial Filtering Approach for Graph Neural Networks Vijay Lingam C. Ekbote Manan Sharma Rahul Ragesh Arun Shankar Iyer Sundararajan Sellamanickam 28 6 0 07 Dec 2021
Simplifying approach to Node Classification in Graph Neural Networks S. Maurya Xin Liu T. Murata 27 76 0 12 Nov 2021
Distance-wise Prototypical Graph Neural Network in Node Imbalance Classification Yu-Chiang Frank Wang Siegfried Mercelis Tyler Derr 18 22 0 22 Oct 2021
Local Augmentation for Graph Neural Networks Songtao Liu Rex Ying Hanze Dong Lanqing Li Tingyang Xu Yu Rong P. Zhao Junzhou Huang Dinghao Wu 45 91 0 08 Sep 2021
Relational Graph Neural Network Design via Progressive Neural Architecture Search Ailing Zeng Minhao Liu Zhiwei Liu Ruiyuan Gao Jing Qin Qiang Xu 19 0 0 30 May 2021
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 169 1,080 0 13 Feb 2020
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 279 1,944 0 09 Jun 2018