Graph-Revised Convolutional Network

17 November 2019

Papers citing "Graph-Revised Convolutional Network"

20 / 20 papers shown

Title
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Zihan Chen Xingbo Fu Yushun Dong Jundong Li Cong Shen FedML 69 0 0 29 Apr 2025
GraphFM: Graph Factorization Machines for Feature Interaction Modeling Shu Wu Zekun Li Yunyue Su Zeyu Cui Xiaoyu Zhang Liang Wang 66 22 0 24 Feb 2025
Uncertainty-Aware Graph Structure Learning Shen Han Zhiyao Zhou Jiawei Chen Zhezheng Hao Sheng Zhou Gang Wang Yan Feng C. L. P. Chen C. Wang 47 2 0 20 Feb 2025
GraphRevisedIE: Multimodal Information Extraction with Graph-Revised Network Panfeng Cao Jian Wu 28 9 0 02 Oct 2024
Learning to Model Graph Structural Information on MLPs via Graph Structure Self-Contrasting Lirong Wu Haitao Lin Guojiang Zhao Cheng Tan Stan Z. Li 28 0 0 09 Sep 2024
RobGC: Towards Robust Graph Condensation Xinyi Gao Hongzhi Yin Tong Chen Guanhua Ye Wentao Zhang Bin Cui AAML 53 3 0 19 Jun 2024
Learning Latent Graph Structures and their Uncertainty A. Manenti Daniele Zambon C. Alippi BDL 35 1 0 30 May 2024
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges Wei Ju Siyu Yi Yifan Wang Zhiping Xiao Zhengyan Mao ... Senzhang Wang Xinwang Liu Xiao Luo Philip S. Yu Ming Zhang AI4CE 36 35 0 07 Mar 2024
GraphEdit: Large Language Models for Graph Structure Learning Zirui Guo Lianghao Xia Yanhua Yu Yuling Wang Zixuan Yang Zhiyong Huang Chao Huang 49 18 0 23 Feb 2024
Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching Federico Errica Henrik Christiansen Viktor Zaverkin Takashi Maruyama Mathias Niepert Francesco Alesiani 54 7 0 27 Dec 2023
GSLB: The Graph Structure Learning Benchmark Zhixun Li Liang Wang Xin Sun Yifan Luo Yanqiao Zhu ... Xiangxin Zhou Qiang Liu Shu Wu Liang Wang Jeffrey Xu Yu 35 34 0 08 Oct 2023
Graph Structural Residuals: A Learning Approach to Diagnosis Jan Lukas Augustin Oliver Niggemann 19 2 0 14 Aug 2023
A Comprehensive Survey on Deep Graph Representation Learning Wei Ju Zheng Fang Yiyang Gu Zequn Liu Qingqing Long ... Jingyang Yuan Yusheng Zhao Yifan Wang Xiao Luo Ming Zhang GNN AI4TS 46 141 0 11 Apr 2023
Knowledge-Aware Bayesian Deep Topic Model Dongsheng Wang Yishi Xu Miaoge Li Zhibin Duan Chaojie Wang Bo Chen Mingyuan Zhou BDL 28 15 0 20 Sep 2022
Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN Kuan Li Yang Liu Xiang Ao Jianfeng Chi Jinghua Feng Hao Yang Qing He AAML 41 63 0 30 Jun 2022
Spatio-Temporal Latent Graph Structure Learning for Traffic Forecasting Jiabin Tang Tang Qian Shikun Liu Shengdong Du Jie Hu Tianrui Li AI4TS 24 22 0 25 Feb 2022
Deep Graph Learning for Anomalous Citation Detection Jiaying Liu Feng Xia Xu Feng Jing Ren Huan Liu 24 40 0 23 Feb 2022
A Comparative Study on Robust Graph Neural Networks to Structural Noises Zeyu Zhang Yulong Pei NoLa AAML 22 4 0 11 Dec 2021
Graph Information Bottleneck for Subgraph Recognition Junchi Yu Tingyang Xu Yu Rong Yatao Bian Junzhou Huang R. He 14 153 0 12 Oct 2020
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 251 1,811 0 25 Nov 2016