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Towards Expressive Graph Representation

Towards Expressive Graph Representation

12 October 2020
Chengsheng Mao
Liang Yao
Yuan Luo
ArXiv (abs)PDFHTML

Papers citing "Towards Expressive Graph Representation"

16 / 16 papers shown
Title
Simple and Deep Graph Convolutional Networks
Simple and Deep Graph Convolutional Networks
Ming Chen
Zhewei Wei
Zengfeng Huang
Bolin Ding
Yaliang Li
GNN
130
1,501
0
04 Jul 2020
Contrastive Multi-View Representation Learning on Graphs
Contrastive Multi-View Representation Learning on Graphs
Kaveh Hassani
Amir Hosein Khas Ahmadi
SSL
234
1,305
0
10 Jun 2020
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation
  Learning via Mutual Information Maximization
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization
Fan-Yun Sun
Jordan Hoffmann
Vikas Verma
Jian Tang
SSL
173
865
0
31 Jul 2019
Wasserstein Weisfeiler-Lehman Graph Kernels
Wasserstein Weisfeiler-Lehman Graph Kernels
Matteo Togninalli
M. Ghisu
Felipe Llinares-López
Bastian Rieck
Karsten Borgwardt
76
201
0
04 Jun 2019
Provably Powerful Graph Networks
Provably Powerful Graph Networks
Haggai Maron
Heli Ben-Hamu
Hadar Serviansky
Y. Lipman
137
582
0
27 May 2019
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks
Christopher Morris
Martin Ritzert
Matthias Fey
William L. Hamilton
J. E. Lenssen
Gaurav Rattan
Martin Grohe
GNN
194
1,646
0
04 Oct 2018
How Powerful are Graph Neural Networks?
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
261
7,710
0
01 Oct 2018
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
Rex Ying
Ruining He
Kaifeng Chen
Pong Eksombatchai
William L. Hamilton
J. Leskovec
GNNBDL
272
3,555
0
06 Jun 2018
Graph Capsule Convolutional Neural Networks
Graph Capsule Convolutional Neural Networks
Saurabh Verma
Zhi-Li Zhang
GNN
94
128
0
21 May 2018
Few-Shot Learning with Graph Neural Networks
Few-Shot Learning with Graph Neural Networks
Victor Garcia Satorras
Joan Bruna
GNN
178
1,240
0
10 Nov 2017
graph2vec: Learning Distributed Representations of Graphs
graph2vec: Learning Distributed Representations of Graphs
A. Narayanan
Mahinthan Chandramohan
R. Venkatesan
Lihui Chen
Yang Liu
Shantanu Jaiswal
GNN
79
745
0
17 Jul 2017
Deep Sets
Deep Sets
Manzil Zaheer
Satwik Kottur
Siamak Ravanbakhsh
Barnabás Póczós
Ruslan Salakhutdinov
Alex Smola
435
2,483
0
10 Mar 2017
On Valid Optimal Assignment Kernels and Applications to Graph
  Classification
On Valid Optimal Assignment Kernels and Applications to Graph Classification
Nils M. Kriege
Pierre-Louis Giscard
Richard C. Wilson
96
215
0
03 Jun 2016
Learning Convolutional Neural Networks for Graphs
Learning Convolutional Neural Networks for Graphs
Mathias Niepert
Mohamed Ahmed
Konstantin Kutzkov
GNNSSL
149
2,156
0
17 May 2016
Convolutional Networks on Graphs for Learning Molecular Fingerprints
Convolutional Networks on Graphs for Learning Molecular Fingerprints
David Duvenaud
D. Maclaurin
J. Aguilera-Iparraguirre
Rafael Gómez-Bombarelli
Timothy D. Hirzel
Alán Aspuru-Guzik
Ryan P. Adams
GNN
229
3,356
0
30 Sep 2015
Subgraph Matching Kernels for Attributed Graphs
Subgraph Matching Kernels for Attributed Graphs
Nils Kriege
Petra Mutzel
73
279
0
27 Jun 2012
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