DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

25 July 2019

Papers citing "DropEdge: Towards Deep Graph Convolutional Networks on Node Classification"

29 / 229 papers shown

Title
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
Graph Information Bottleneck for Subgraph Recognition Junchi Yu Tingyang Xu Yu Rong Yatao Bian Junzhou Huang Ran He 30 153 0 12 Oct 2020
TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion Jiapeng Wu Mengyao Cao Jackie C.K. Cheung William L. Hamilton 12 144 0 07 Oct 2020
A Unified View on Graph Neural Networks as Graph Signal Denoising Yao Ma Xiaorui Liu Tong Zhao Yozen Liu Jiliang Tang Neil Shah AI4CE 36 176 0 05 Oct 2020
GraphCrop: Subgraph Cropping for Graph Classification Yiwei Wang Wei Wang Keli Zhang Yujun Cai Bryan Hooi 22 57 0 22 Sep 2020
Implicit Graph Neural Networks Fangda Gu Heng Chang Wenwu Zhu Somayeh Sojoudi L. Ghaoui GNN 29 147 0 14 Sep 2020
Edge-variational Graph Convolutional Networks for Uncertainty-aware Disease Prediction Yongxiang Huang Albert C. S. Chung MedIm 19 61 0 06 Sep 2020
Rethinking Graph Regularization for Graph Neural Networks Han Yang Kaili Ma James Cheng AI4CE 27 72 0 04 Sep 2020
Improving the Long-Range Performance of Gated Graph Neural Networks Denis Lukovnikov Jens Lehmann Asja Fischer GNN 27 6 0 19 Jul 2020
Simple and Deep Graph Convolutional Networks Ming Chen Zhewei Wei Zengfeng Huang Bolin Ding Yaliang Li GNN 42 1,450 0 04 Jul 2020
Self-Supervised Graph Transformer on Large-Scale Molecular Data Yu Rong Yatao Bian Tingyang Xu Wei-yang Xie Ying Wei Wenbing Huang Junzhou Huang AI4CE 21 25 0 18 Jun 2020
Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks Kenta Oono Taiji Suzuki AI4CE 37 31 0 15 Jun 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
Towards Deeper Graph Neural Networks with Differentiable Group Normalization Kaixiong Zhou Xiao Huang Yuening Li Daochen Zha Rui Chen Xia Hu 33 198 0 12 Jun 2020
Data Augmentation for Graph Neural Networks Tong Zhao Yozen Liu Leonardo Neves Oliver J. Woodford Meng Jiang Neil Shah GNN 30 407 0 11 Jun 2020
On the Bottleneck of Graph Neural Networks and its Practical Implications Uri Alon Eran Yahav GNN 46 662 0 09 Jun 2020
Graph Random Neural Network for Semi-Supervised Learning on Graphs Wenzheng Feng Jie Zhang Yuxiao Dong Yu Han Huanbo Luan Qian Xu Qiang Yang Evgeny Kharlamov Jie Tang 26 387 0 22 May 2020
Multi-View Graph Neural Networks for Molecular Property Prediction Hehuan Ma Yatao Bian Yu Rong Wenbing Huang Tingyang Xu Wei-yang Xie Geyan Ye Junzhou Huang 21 44 0 17 May 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs Weihua Hu Matthias Fey Marinka Zitnik Yuxiao Dong Hongyu Ren Bowen Liu Michele Catasta J. Leskovec 35 2,658 0 02 May 2020
Semi-supervised Anomaly Detection on Attributed Graphs Atsutoshi Kumagai Tomoharu Iwata Yasuhiro Fujiwara 23 37 0 27 Feb 2020
Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks Zhiqian Chen Fanglan Chen Lei Zhang Taoran Ji Kaiqun Fu Liang Zhao Feng Chen Lingfei Wu Charu Aggarwal Chang-Tien Lu 29 45 0 27 Feb 2020
Ripple Walk Training: A Subgraph-based training framework for Large and Deep Graph Neural Network Jiyang Bai Yuxiang Ren Jiawei Zhang GNN 19 29 0 17 Feb 2020
Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks Tian Bian Xi Xiao Tingyang Xu P. Zhao Wenbing Huang Yu Rong Junzhou Huang GNN 25 582 0 17 Jan 2020
Node Masking: Making Graph Neural Networks Generalize and Scale Better Pushkar Mishra Aleksandra Piktus Gerard Goossen Fabrizio Silvestri AI4CE 32 14 0 17 Jan 2020
Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View Deli Chen Yankai Lin Wei Li Peng Li Jie Zhou Xu Sun 30 1,079 0 07 Sep 2019
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks Minjie Wang Da Zheng Zihao Ye Quan Gan Mufei Li ... Jun Zhao Haotong Zhang Alex Smola Jinyang Li Zheng-Wei Zhang AI4CE GNN 206 747 0 03 Sep 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
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 260 1,812 0 25 Nov 2016
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,638 0 03 Jul 2012