Towards Deeper Graph Neural Networks

18 July 2020

Papers citing "Towards Deeper Graph Neural Networks"

50 / 103 papers shown

Title
Agent-based Graph Neural Networks Karolis Martinkus Pál András Papp Benedikt Schesch Roger Wattenhofer LLMAG GNN 31 17 0 22 Jun 2022
NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning Wentao Zhang Zeang Sheng Mingyu Yang Yang Li Yu Shen Zhi-Xin Yang Bin Cui AAML 23 16 0 17 Jun 2022
Condensing Graphs via One-Step Gradient Matching Wei Jin Xianfeng Tang Haoming Jiang Zheng Li Danqing Zhang Jiliang Tang Bin Ying DD 28 98 0 15 Jun 2022
Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective Wei Jin Xiaorui Liu Yao Ma Charu C. Aggarwal Jiliang Tang 30 42 0 15 Jun 2022
Model Degradation Hinders Deep Graph Neural Networks Wentao Zhang Zeang Sheng Ziqi Yin Yuezihan Jiang Yikuan Xia Jun Gao Zhi-Xin Yang Bin Cui GNN AI4CE 26 39 0 09 Jun 2022
Alternately Optimized Graph Neural Networks Haoyu Han Xiaorui Liu Haitao Mao Torkamani Ali Feng Shi Victor E. Lee Jiliang Tang GNN 31 8 0 08 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 17 80 0 07 Jun 2022
Label-Enhanced Graph Neural Network for Semi-supervised Node Classification Le Yu Leilei Sun Bowen Du T. Zhu Weifeng Lv 32 14 0 31 May 2022
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily Xiang Li Renyu Zhu Yao Cheng Caihua Shan Siqiang Luo Dongsheng Li Wei Qian 18 181 0 15 May 2022
NDGGNET-A Node Independent Gate based Graph Neural Networks Ye Tang Xuesong Yang Xinrui Liu Xiwei Zhao Zhangang Lin Changping Peng GNN 19 0 0 11 May 2022
LEReg: Empower Graph Neural Networks with Local Energy Regularization Xiaojun Ma Hanyue Chen Guojie Song 16 3 0 20 Mar 2022
Addressing Over-Smoothing in Graph Neural Networks via Deep Supervision P. Elinas Edwin V. Bonilla AI4CE 26 5 0 25 Feb 2022
Graph Convolutional Networks for Multi-modality Medical Imaging: Methods, Architectures, and Clinical Applications Kexin Ding Mu Zhou Zichen Wang Qiao Liu C. Arnold Shaoting Zhang Dimitris N. Metaxas GNN MedIm AI4CE 30 12 0 17 Feb 2022
MarkovGNN: Graph Neural Networks on Markov Diffusion Md. Khaledur Rahman Abhigya Agrawal A. Azad GNN BDL 29 2 0 05 Feb 2022
Over-smoothing Effect of Graph Convolutional Networks Fang Sun 28 1 0 30 Jan 2022
LOSTIN: Logic Optimization via Spatio-Temporal Information with Hybrid Graph Models Nan Wu Jiwon Lee Yuan Xie Cong Hao 30 18 0 20 Jan 2022
Decoupling the Depth and Scope of Graph Neural Networks Hanqing Zeng Muhan Zhang Yinglong Xia Ajitesh Srivastava Andrey Malevich R. Kannan Viktor Prasanna Long Jin Ren Chen GNN 33 142 0 19 Jan 2022
Structure and position-aware graph neural network for airway labeling Weiyi Xie Colin Jacobs Jean-Paul Charbonnier Bram van Ginneken 32 11 0 12 Jan 2022
A Lightweight and Accurate Spatial-Temporal Transformer for Traffic Forecasting Guanyao Li Shuhan Zhong Shueng-Han Gary Chan Ruiyuan Li Chih-Chieh Hung Wen-Chih Peng AI4TS 32 26 0 30 Dec 2021
HampDTI: a heterogeneous graph automatic meta-path learning method for drug-target interaction prediction Hongzhun Wang Feng Huang Wen Zhang 11 27 0 16 Dec 2021
Imbalanced Graph Classification via Graph-of-Graph Neural Networks Yu-Chiang Frank Wang Yuying Zhao Neil Shah Tyler Derr 25 47 0 01 Dec 2021
AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020 Jin Xu Mingjian Chen Jianqiang Huang Xingyuan Tang Ke Hu Jian Li Jia Cheng Jun Lei 20 2 0 25 Nov 2021
Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods Wenqing Zheng Edward W. Huang Nikhil S. Rao S. Katariya Zhangyang Wang Karthik Subbian 32 62 0 08 Nov 2021
Pairwise Half-graph Discrimination: A Simple Graph-level Self-supervised Strategy for Pre-training Graph Neural Networks Pengyong Li Jun Wang Ziliang Li Yixuan Qiao Xianggen Liu Fei Ma Peng Gao Sen Song Guowang Xie SSL 23 16 0 26 Oct 2021
Distance-wise Prototypical Graph Neural Network in Node Imbalance Classification Yu-Chiang Frank Wang Siegfried Mercelis Tyler Derr 13 22 0 22 Oct 2021
Graph Condensation for Graph Neural Networks Wei Jin Lingxiao Zhao Shichang Zhang Yozen Liu Jiliang Tang Neil Shah DD AI4CE 24 147 0 14 Oct 2021
Motif-based Graph Self-Supervised Learning for Molecular Property Prediction Zaixin Zhang Qi Liu Hao Wang Chengqiang Lu Chee-Kong Lee SSL AI4CE 32 249 0 03 Oct 2021
Orthogonal Graph Neural Networks Kai Guo Kaixiong Zhou Xia Hu Yu Li Yi Chang Xin Wang 43 34 0 23 Sep 2021
Parallel Multi-Graph Convolution Network For Metro Passenger Volume Prediction Fuchen Gao Zhanquan Wang Zhenguang Liu AI4TS GNN 30 5 0 29 Aug 2021
Tree Decomposed Graph Neural Network Yu-Chiang Frank Wang Tyler Derr 19 68 0 25 Aug 2021
Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study Tianlong Chen Kaixiong Zhou Keyu Duan Wenqing Zheng Peihao Wang Xia Hu Zhangyang Wang AAML GNN 27 61 0 24 Aug 2021
Evaluating Deep Graph Neural Networks Wentao Zhang Zeang Sheng Yuezihan Jiang Yikuan Xia Jun Gao Zhi-Xin Yang Bin Cui GNN AI4CE 21 31 0 02 Aug 2021
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks Zhiqian Chen Fanglan Chen Lei Zhang Taoran Ji Kaiqun Fu Liang Zhao Feng Chen Lingfei Wu Charu C. Aggarwal Chang-Tien Lu 38 18 0 21 Jul 2021
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks Kaixiong Zhou Xiao Shi Huang Daochen Zha Rui Chen Li Li Soo-Hyun Choi Xia Hu GNN AI4CE 24 114 0 06 Jul 2021
Productivity, Portability, Performance: Data-Centric Python Yiheng Wang Yao Zhang Yanzhang Wang Yan Wan Jiao Wang Zhongyuan Wu Yuhao Yang Bowen She 54 94 0 01 Jul 2021
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation Mingguo He Zhewei Wei Zengfeng Huang Hongteng Xu 44 212 0 21 Jun 2021
Training Graph Neural Networks with 1000 Layers Guohao Li Matthias Muller Guohao Li V. Koltun GNN AI4CE 48 235 0 14 Jun 2021
Graph Contrastive Learning Automated Yuning You Tianlong Chen Yang Shen Zhangyang Wang 24 447 0 10 Jun 2021
FedGL: Federated Graph Learning Framework with Global Self-Supervision Chuan Chen Weibo Hu Ziyue Xu Zibin Zheng FedML 27 53 0 07 May 2021
Graph Decoupling Attention Markov Networks for Semi-supervised Graph Node Classification Jie Chen Shouzhen Chen Mingyuan Bai Jian Pu Junping Zhang Junbin Gao 39 21 0 28 Apr 2021
Graph Neural Networks Inspired by Classical Iterative Algorithms Yongyi Yang T. Liu Yangkun Wang Jinjing Zhou Quan Gan Zhewei Wei Zheng-Wei Zhang Zengfeng Huang David Wipf 36 83 0 10 Mar 2021
Sampling methods for efficient training of graph convolutional networks: A survey Xin Liu Yurui Lai Lei Deng Guoqi Li Xiaochun Ye Xiaochun Ye GNN 26 100 0 10 Mar 2021
Self-Supervised Learning of Graph Neural Networks: A Unified Review Yaochen Xie Zhao Xu Jingtun Zhang Zhengyang Wang Shuiwang Ji SSL 24 324 0 22 Feb 2021
NODE-SELECT: A Graph Neural Network Based On A Selective Propagation Technique Steph-Yves M. Louis Alireza Nasiri Fatima J. Rolland Cameron Mitro Jianjun Hu 68 9 0 17 Feb 2021
Interpreting and Unifying Graph Neural Networks with An Optimization Framework Meiqi Zhu Xiao Wang C. Shi Houye Ji Peng Cui AI4CE 52 197 0 28 Jan 2021
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 25 115 0 16 Dec 2020
NCGNN: Node-Level Capsule Graph Neural Network for Semisupervised Classification Rui Yang Wenrui Dai Chenglin Li Junni Zou H. Xiong 28 20 0 07 Dec 2020
Graph Neural Networks in Recommender Systems: A Survey Shiwen Wu Fei Sun Wentao Zhang Xu Xie Bin Cui GNN 56 1,174 0 04 Nov 2020
Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification Yunsheng Shi Zhengjie Huang Shikun Feng Hui Zhong Wenjin Wang Yu Sun AI4CE 28 744 0 08 Sep 2020
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 169 1,078 0 13 Feb 2020