Towards Deeper Graph Neural Networks

Towards Deeper Graph Neural Networks

18 July 2020

Papers citing "Towards Deeper Graph Neural Networks"

19 / 69 papers shown

Title
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 15 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 24 61 0 08 Nov 2021
Distance-wise Prototypical Graph Neural Network in Node Imbalance Classification Yu-Chiang Frank Wang Siegfried Mercelis Tyler Derr 9 22 0 22 Oct 2021
Orthogonal Graph Neural Networks Kai Guo Kaixiong Zhou Xia Hu Yu Li Yi Chang Xin Wang 41 34 0 23 Sep 2021
Parallel Multi-Graph Convolution Network For Metro Passenger Volume Prediction Fuchen Gao Zhanquan Wang Zhenguang Liu AI4TS GNN 25 4 0 29 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 19 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 16 31 0 02 Aug 2021
Productivity, Portability, Performance: Data-Centric Python Yiheng Wang Yao Zhang Yanzhang Wang Yan Wan Jiao Wang Zhongyuan Wu Yuhao Yang Bowen She 40 95 0 01 Jul 2021
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation Mingguo He Zhewei Wei Zengfeng Huang Hongteng Xu 25 207 0 21 Jun 2021
Training Graph Neural Networks with 1000 Layers Guohao Li Matthias Muller Bernard Ghanem V. Koltun GNN AI4CE 34 235 0 14 Jun 2021
Graph Decoupling Attention Markov Networks for Semi-supervised Graph Node Classification Jie Chen Shouzhen Chen Mingyuan Bai Jian Pu Junping Zhang Junbin Gao 28 21 0 28 Apr 2021
Sampling methods for efficient training of graph convolutional networks: A survey Xin Liu Mingyu Yan Lei Deng Guoqi Li Xiaochun Ye Dongrui Fan GNN 21 99 0 10 Mar 2021
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 23 113 0 16 Dec 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 25 738 0 08 Sep 2020
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 169 1,072 0 13 Feb 2020
AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models Ke Sun Zhanxing Zhu Zhouchen Lin GNN 20 80 0 14 Aug 2019
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 229 1,935 0 09 Jun 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 234 1,809 0 25 Nov 2016