Anisotropic Graph Convolutional Network for Semi-supervised Learning

20 October 2020

Papers citing "Anisotropic Graph Convolutional Network for Semi-supervised Learning"

25 / 25 papers shown

Title
PairNorm: Tackling Oversmoothing in GNNs Lingxiao Zhao Leman Akoglu 62 508 0 26 Sep 2019
Graph Wavelet Neural Network Bingbing Xu Huawei Shen Qi Cao Yunqi Qiu Xueqi Cheng GNN 61 330 0 12 Apr 2019
Simplifying Graph Convolutional Networks Felix Wu Tianyi Zhang Amauri Souza Christopher Fifty Tao Yu Kilian Q. Weinberger GNN 191 3,168 0 19 Feb 2019
LanczosNet: Multi-Scale Deep Graph Convolutional Networks Renjie Liao Zhizhen Zhao R. Urtasun R. Zemel GNN 67 228 0 06 Jan 2019
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 208 7,623 0 01 Oct 2018
Deep Graph Infomax Petar Velickovic W. Fedus William L. Hamilton Pietro Lio Yoshua Bengio R. Devon Hjelm GNN 120 2,380 0 27 Sep 2018
Adaptive Sampling Towards Fast Graph Representation Learning Wen-bing Huang Tong Zhang Yu Rong Junzhou Huang GNN 75 490 0 14 Sep 2018
Large-Scale Learnable Graph Convolutional Networks Hongyang Gao Zhengyang Wang Shuiwang Ji GNN 78 592 0 12 Aug 2018
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 487 1,977 0 09 Jun 2018
Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning Qimai Li Zhichao Han Xiao-Ming Wu GNN SSL 178 2,820 0 22 Jan 2018
Probabilistic Semantic Retrieval for Surveillance Videos with Activity Graphs Yuting Chen Joseph Wang Yannan Bai Greg Castañón Venkatesh Saligrama 61 15 0 17 Dec 2017
Residual Gated Graph ConvNets Xavier Bresson T. Laurent GNN 118 480 0 20 Nov 2017
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 416 20,061 0 30 Oct 2017
Representation Learning on Graphs: Methods and Applications William L. Hamilton Rex Ying J. Leskovec GNN 145 1,971 0 17 Sep 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 442 15,179 0 07 Jun 2017
Graph Embedding Techniques, Applications, and Performance: A Survey Palash Goyal Emilio Ferrara GNN AI4TS 115 1,724 0 08 May 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 386 1,818 0 25 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 559 28,964 0 09 Sep 2016
node2vec: Scalable Feature Learning for Networks Aditya Grover J. Leskovec 183 10,847 0 03 Jul 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering M. Defferrard Xavier Bresson P. Vandergheynst GNN 302 7,646 0 30 Jun 2016
Revisiting Semi-Supervised Learning with Graph Embeddings Zhilin Yang William W. Cohen Ruslan Salakhutdinov GNN SSL 162 2,088 0 29 Mar 2016
Gated Graph Sequence Neural Networks Yujia Li Daniel Tarlow Marc Brockschmidt R. Zemel GNN 303 3,279 0 17 Nov 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.3K 149,842 0 22 Dec 2014
DeepWalk: Online Learning of Social Representations Bryan Perozzi Rami Al-Rfou Steven Skiena HAI 250 9,769 0 26 Mar 2014
Distributed Representations of Words and Phrases and their Compositionality Tomas Mikolov Ilya Sutskever Kai Chen G. Corrado J. Dean NAI OCL 339 33,500 0 16 Oct 2013