Representation Learning on Graphs: Methods and Applications

Representation Learning on Graphs: Methods and Applications

17 September 2017

William L. Hamilton

Papers citing "Representation Learning on Graphs: Methods and Applications"

19 / 269 papers shown

Title
SimGNN: A Neural Network Approach to Fast Graph Similarity Computation Yunsheng Bai Haoyang Ding Song Bian Ting-Li Chen Yizhou Sun Wei Wang GNN 19 313 0 16 Aug 2018
Learning Graph Embeddings from WordNet-based Similarity Measures Andrey Kutuzov M. Dorgham Oleksiy Oliynyk Chris Biemann Alexander Panchenko GNN 13 17 0 16 Aug 2018
Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks Yu Shi Qi Zhu Fang Guo Chao Zhang Jiawei Han 11 118 0 10 Jul 2018
Hierarchical Graph Representation Learning with Differentiable Pooling Rex Ying Jiaxuan You Christopher Morris Xiang Ren William L. Hamilton J. Leskovec GNN 54 2,124 0 22 Jun 2018
Graph Convolutional Neural Networks for Web-Scale Recommender Systems Rex Ying Ruining He Kaifeng Chen Pong Eksombatchai William L. Hamilton J. Leskovec GNN BDL 84 3,477 0 06 Jun 2018
Embedding Logical Queries on Knowledge Graphs William L. Hamilton Payal Bajaj Marinka Zitnik Dan Jurafsky J. Leskovec NAI 30 286 0 05 Jun 2018
MolGAN: An implicit generative model for small molecular graphs Nicola De Cao Thomas Kipf GNN GAN 18 906 0 30 May 2018
Anonymous Walk Embeddings Sergey Ivanov Evgeny Burnaev GNN 15 178 0 30 May 2018
AffinityNet: semi-supervised few-shot learning for disease type prediction Tianle Ma A. Zhang 19 55 0 22 May 2018
Conditional Network Embeddings Bo Kang Jefrey Lijffijt T. D. Bie 12 44 0 19 May 2018
Neural-Brane: Neural Bayesian Personalized Ranking for Attributed Network Embedding Vachik S. Dave Baichuan Zhang Pin-Yu Chen M. Hasan BDL 21 29 0 23 Apr 2018
Walk-Steered Convolution for Graph Classification Jiatao Jiang Chunyan Xu Zhen Cui Tong Zhang Chengzhen Li Jian Yang GNN 17 12 0 16 Apr 2018
Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks Kun Xu Lingfei Wu Zhiguo Wang Yansong Feng Michael Witbrock V. Sheinin GNN 25 171 0 03 Apr 2018
Attentional Multilabel Learning over Graphs: A Message Passing Approach Kien Do T. Tran Thin Nguyen Svetha Venkatesh 19 17 0 01 Apr 2018
Graphite: Iterative Generative Modeling of Graphs Aditya Grover Aaron Zweig Stefano Ermon BDL 16 296 0 28 Mar 2018
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models Jiaxuan You Rex Ying Xiang Ren William L. Hamilton J. Leskovec GNN BDL 41 831 0 24 Feb 2018
Semi-Supervised Learning on Graphs Based on Local Label Distributions Evgheniy Faerman Felix Borutta Julian Busch Matthias Schubert 33 7 0 15 Feb 2018
Learning Structural Node Embeddings Via Diffusion Wavelets Claire Donnat Marinka Zitnik David Hallac J. Leskovec GNN DiffM 19 386 0 27 Oct 2017
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 253 3,239 0 24 Nov 2016