Block Modeling-Guided Graph Convolutional Neural Networks

27 December 2021

Papers citing "Block Modeling-Guided Graph Convolutional Neural Networks"

27 / 27 papers shown

Title
Rethinking Tokenized Graph Transformers for Node Classification Jinsong Chen Chenyang Li Gaichao Li J. Hopcroft Kun He 53 0 0 12 Feb 2025
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 29 0 0 18 Nov 2024
Leveraging Invariant Principle for Heterophilic Graph Structure Distribution Shifts Jinluan Yang Zhengyu Chen Teng Xiao Wenqiao Zhang Yong Lin Kun Kuang 48 0 0 18 Aug 2024
HC-GST: Heterophily-aware Distribution Consistency based Graph Self-training Fali Wang Tianxiang Zhao Junjie Xu Suhang Wang 30 1 0 25 Jul 2024
Counterfactual Data Augmentation with Denoising Diffusion for Graph Anomaly Detection Chunjing Xiao Shikang Pang Xovee Xu Xuan Li Goce Trajcevski Fan Zhou DiffM 26 7 0 02 Jul 2024
NTFormer: A Composite Node Tokenized Graph Transformer for Node Classification Jinsong Chen Siyu Jiang Kun He 29 1 0 27 Jun 2024
Understanding Heterophily for Graph Neural Networks Junfu Wang Yuanfang Guo Liang Yang Yun-an Wang 18 9 0 17 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
SignGT: Signed Attention-based Graph Transformer for Graph Representation Learning Jinsong Chen Gaichao Li J. Hopcroft Kun He SLR 13 5 0 17 Oct 2023
Shape-aware Graph Spectral Learning Junjie Xu Enyan Dai Dongsheng Luo Xiang Zhang Suhang Wang 17 2 0 16 Oct 2023
GPatcher: A Simple and Adaptive MLP Model for Alleviating Graph Heterophily Shuaicheng Zhang Haohui Wang Si Zhang Dawei Zhou 18 2 0 25 Jun 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
Self-attention Dual Embedding for Graphs with Heterophily Yurui Lai Taiyan Zhang Rui Fan GNN 24 0 0 28 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
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 12 187 0 22 Feb 2023
Heterophily-Aware Graph Attention Network Junfu Wang Yuanfang Guo Liang Yang Yun-an Wang 11 2 0 07 Feb 2023
Node-oriented Spectral Filtering for Graph Neural Networks Shuai Zheng Zhenfeng Zhu Zhizhe Liu Youru Li Yao-Min Zhao 12 14 0 07 Dec 2022
Neighborhood Convolutional Network: A New Paradigm of Graph Neural Networks for Node Classification Jinsong Chen Boyu Li Kun He GNN 8 0 0 15 Nov 2022
HP-GMN: Graph Memory Networks for Heterophilous Graphs Junjie Xu Enyan Dai Xiang Zhang Suhang Wang 20 18 0 15 Oct 2022
RAW-GNN: RAndom Walk Aggregation based Graph Neural Network Di Jin Rui-xia Wang Meng Ge Dongxiao He Xiang Li Wei Lin Weixiong Zhang 8 35 0 28 Jun 2022
Propagation with Adaptive Mask then Training for Node Classification on Attributed Networks Jinsong Chen Boyu Li Qiuting He Kun He 17 0 0 21 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 19 213 0 14 Feb 2022
Label-Wise Graph Convolutional Network for Heterophilic Graphs Enyan Dai Shijie Zhou Zhimeng Guo Suhang Wang 35 18 0 15 Oct 2021
A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning Di Jin Zhizhi Yu Pengfei Jiao Shirui Pan Dongxiao He Jia Wu Philip S. Yu Weixiong Zhang GNN 111 266 0 03 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 145 828 0 28 Sep 2019