Inductive Representation Learning on Large Graphs

v1v2v3v4 (latest)

Inductive Representation Learning on Large Graphs

Neural Information Processing Systems (NeurIPS), 2017

7 June 2017

William L. Hamilton

ArXiv (abs)PDF HTML

Papers citing "Inductive Representation Learning on Large Graphs"

10 / 6,260 papers shown

Title
A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications Hongyun Cai V. Zheng Kevin Chen-Chuan Chang AI4TS 282 1,898 0 22 Sep 2017
Representation Learning on Graphs: Methods and Applications William L. Hamilton Rex Ying J. Leskovec GNN 549 2,079 0 17 Sep 2017
A Framework for Generalizing Graph-based Representation Learning Methods Nesreen Ahmed Ryan A. Rossi R. Zhou J. B. Lee Xiangnan Kong Theodore L. Willke Hoda Eldardiry 163 20 0 14 Sep 2017
Retrofitting Distributional Embeddings to Knowledge Graphs with Functional Relations Benjamin J. Lengerich Andrew L. Maas Christopher Potts KELM 207 30 0 01 Aug 2017
Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking Aleksandar Bojchevski Stephan Günnemann BDL 465 730 0 12 Jul 2017
Graph Convolutional Matrix Completion Rianne van den Berg Thomas Kipf Max Welling GNN 337 1,389 0 07 Jun 2017
Supervised Community Detection with Line Graph Neural Networks Zhengdao Chen Xiang Li Joan Bruna 362 87 0 23 May 2017
Semi-supervised Embedding in Attributed Networks with Outliers Jiongqian Liang Peter Jacobs Jiankai Sun Srinivasan Parthasarathy BDL 197 111 0 23 Mar 2017
Modeling Relational Data with Graph Convolutional Networks Michael Schlichtkrull Thomas Kipf Peter Bloem Rianne van den Berg Ivan Titov Max Welling GNN 629 5,505 0 17 Mar 2017
A Unifying View of Explicit and Implicit Feature Maps of Graph Kernels Nils M. Kriege Marion Neumann Christopher Morris Kristian Kersting Petra Mutzel 182 24 0 02 Mar 2017