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Adversarial Graph Augmentation to Improve Graph Contrastive Learning
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Adversarial Graph Augmentation to Improve Graph Contrastive Learning

10 June 2021
Susheel Suresh
Pan Li
Cong Hao
Jennifer Neville
    AAML
ArXiv (abs)PDFHTML

Papers citing "Adversarial Graph Augmentation to Improve Graph Contrastive Learning"

5 / 55 papers shown
Title
node2vec: Scalable Feature Learning for Networks
node2vec: Scalable Feature Learning for Networks
Aditya Grover
J. Leskovec
200
10,934
0
03 Jul 2016
Discriminative Embeddings of Latent Variable Models for Structured Data
Discriminative Embeddings of Latent Variable Models for Structured Data
H. Dai
Bo Dai
Le Song
BDL
126
697
0
17 Mar 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
239
3,356
0
30 Sep 2015
Deep Learning and the Information Bottleneck Principle
Deep Learning and the Information Bottleneck Principle
Naftali Tishby
Noga Zaslavsky
DRL
220
1,595
0
09 Mar 2015
DeepWalk: Online Learning of Social Representations
DeepWalk: Online Learning of Social Representations
Bryan Perozzi
Rami Al-Rfou
Steven Skiena
HAI
277
9,816
0
26 Mar 2014
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