DeeperGCN: All You Need to Train Deeper GCNs

13 June 2020

Papers citing "DeeperGCN: All You Need to Train Deeper GCNs"

31 / 81 papers shown

Title
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
Directional Message Passing on Molecular Graphs via Synthetic Coordinates Johannes Klicpera Chandan Yeshwanth Stephan Günnemann 42 35 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 31 16 0 26 Oct 2021
CGNN: Traffic Classification with Graph Neural Network Bo Pang Yongquan Fu Siyuan Ren Ye Wang Qing Liao Yan Jia GNN 19 25 0 19 Oct 2021
Meta-Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks Yongcheng Jing Yiding Yang Xinchao Wang Xiuming Zhang Dacheng Tao 25 38 0 27 Sep 2021
Scalable deeper graph neural networks for high-performance materials property prediction Sadman Sadeed Omee Steph-Yves M. Louis Nihang Fu Lai Wei Sourin Dey Rongzhi Dong Qinyang Li Jianjun Hu 70 73 0 25 Sep 2021
Group-Aware Graph Neural Network for Nationwide City Air Quality Forecasting Ling-Hao Chen Jiahui Xu Binqing Wu Yuntao Qian Zhenhong Du Yansheng Li Jianlong Huang AI4TS 13 38 0 27 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
Global Self-Attention as a Replacement for Graph Convolution Md Shamim Hussain Mohammed J. Zaki D. Subramanian ViT 40 123 0 07 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 44 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 33 113 0 06 Jul 2021
LiteGEM: Lite Geometry Enhanced Molecular Representation Learning for Quantum Property Prediction Shanzhuo Zhang Lihang Liu Sheng Gao Donglong He Xiaomin Fang Weibin Li Zhengjie Huang Weiyue Su Wenjin Wang 28 9 0 28 Jun 2021
Dual-view Molecule Pre-training Jinhua Zhu Yingce Xia Tao Qin Wen-gang Zhou Houqiang Li Tie-Yan Liu AI4CE 27 51 0 17 Jun 2021
Simple GNN Regularisation for 3D Molecular Property Prediction & Beyond Jonathan Godwin Michael Schaarschmidt Alex Gaunt Alvaro Sanchez-Gonzalez Yulia Rubanova Petar Velivcković J. Kirkpatrick Peter W. Battaglia 41 60 0 15 Jun 2021
Training Graph Neural Networks with 1000 Layers Guohao Li Matthias Muller Guohao Li V. Koltun GNN AI4CE 51 235 0 14 Jun 2021
Learning to Pool in Graph Neural Networks for Extrapolation Jihoon Ko Taehyung Kwon Kijung Shin Juho Lee 21 6 0 11 Jun 2021
Do Transformers Really Perform Bad for Graph Representation? Chengxuan Ying Tianle Cai Shengjie Luo Shuxin Zheng Guolin Ke Di He Yanming Shen Tie-Yan Liu GNN 30 433 0 09 Jun 2021
Graph Convolutional Networks in Feature Space for Image Deblurring and Super-resolution Boyan Xu Hujun Yin GNN 40 9 0 21 May 2021
Residual Network and Embedding Usage: New Tricks of Node Classification with Graph Convolutional Networks Huixuan Chi Yuying Wang Qinfen Hao Hong Xia GNN 24 11 0 18 May 2021
R-GSN: The Relation-based Graph Similar Network for Heterogeneous Graph Xinliang Wu Mengying Jiang Guizhong Liu GNN 27 7 0 14 Mar 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 39 83 0 10 Mar 2021
Early-Bird GCNs: Graph-Network Co-Optimization Towards More Efficient GCN Training and Inference via Drawing Early-Bird Lottery Tickets Haoran You Zhihan Lu Zijian Zhou Y. Fu Yingyan Lin GNN 38 30 0 01 Mar 2021
MAAS: Multi-modal Assignation for Active Speaker Detection Juan Carlos León Alcázar Fabian Caba Heilbron Ali K. Thabet Guohao Li 65 51 0 11 Jan 2021
Robust Optimization as Data Augmentation for Large-scale Graphs Kezhi Kong Ge Li Mucong Ding Zuxuan Wu Chen Zhu Guohao Li Gavin Taylor Tom Goldstein 106 74 0 19 Oct 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 28 747 0 08 Sep 2020
GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training Tianle Cai Shengjie Luo Keyulu Xu Di He Tie-Yan Liu Liwei Wang GNN 32 158 0 07 Sep 2020
Understanding and Resolving Performance Degradation in Graph Convolutional Networks Kuangqi Zhou Yanfei Dong Kaixin Wang W. Lee Bryan Hooi Huan Xu Jiashi Feng GNN BDL 42 89 0 12 Jun 2020
DeepGCNs: Making GCNs Go as Deep as CNNs Ge Li Matthias Muller Guocheng Qian Itzel C. Delgadillo Abdulellah Abualshour Ali K. Thabet Guohao Li 3DPC GNN 37 168 0 15 Oct 2019
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
Joint 2D-3D-Semantic Data for Indoor Scene Understanding Iro Armeni S. Sax Amir Zamir Silvio Savarese 3DV 3DPC 115 877 0 03 Feb 2017
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 254 1,811 0 25 Nov 2016