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Inductive Representation Learning on Large Graphs

Inductive Representation Learning on Large Graphs

7 June 2017
William L. Hamilton
Z. Ying
J. Leskovec
ArXivPDFHTML

Papers citing "Inductive Representation Learning on Large Graphs"

11 / 2,061 papers shown
Title
Reinforcement Learning on Web Interfaces Using Workflow-Guided
  Exploration
Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration
E. Liu
Kelvin Guu
Panupong Pasupat
Tianlin Shi
Percy Liang
OnRL
16
205
0
24 Feb 2018
Semi-Supervised Learning on Graphs Based on Local Label Distributions
Semi-Supervised Learning on Graphs Based on Local Label Distributions
Evgheniy Faerman
Felix Borutta
Julian Busch
Matthias Schubert
35
7
0
15 Feb 2018
Edge Attention-based Multi-Relational Graph Convolutional Networks
Chao Shang
Qinqing Liu
Ko-Shin Chen
Jiangwen Sun
Jin Lu
Jinfeng Yi
J. Bi
GNN
35
93
0
14 Feb 2018
Learning Role-based Graph Embeddings
Learning Role-based Graph Embeddings
Nesreen Ahmed
Ryan Rossi
J. B. Lee
Theodore L. Willke
R. Zhou
Xiangnan Kong
Hoda Eldardiry
23
96
0
07 Feb 2018
FastGCN: Fast Learning with Graph Convolutional Networks via Importance
  Sampling
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling
Jie Chen
Tengfei Ma
Cao Xiao
GNN
47
1,504
0
30 Jan 2018
Adversarial Network Embedding
Adversarial Network Embedding
Quanyu Dai
Qiang Li
Jian Tang
Dan Wang
GNN
GAN
35
221
0
21 Nov 2017
Learning Structural Node Embeddings Via Diffusion Wavelets
Learning Structural Node Embeddings Via Diffusion Wavelets
Claire Donnat
Marinka Zitnik
David Hallac
J. Leskovec
GNN
DiffM
30
386
0
27 Oct 2017
A Comprehensive Survey of Graph Embedding: Problems, Techniques and
  Applications
A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications
Hongyun Cai
V. Zheng
Kevin Chen-Chuan Chang
AI4TS
53
1,781
0
22 Sep 2017
Representation Learning on Graphs: Methods and Applications
Representation Learning on Graphs: Methods and Applications
William L. Hamilton
Rex Ying
J. Leskovec
GNN
37
1,966
0
17 Sep 2017
Modeling Relational Data with Graph Convolutional Networks
Modeling Relational Data with Graph Convolutional Networks
M. Schlichtkrull
Thomas Kipf
Peter Bloem
Rianne van den Berg
Ivan Titov
Max Welling
GNN
89
4,736
0
17 Mar 2017
A Unifying View of Explicit and Implicit Feature Maps of Graph Kernels
A Unifying View of Explicit and Implicit Feature Maps of Graph Kernels
Nils M. Kriege
Marion Neumann
Christopher Morris
Kristian Kersting
Petra Mutzel
31
22
0
02 Mar 2017
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