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Probing Negative Sampling Strategies to Learn GraphRepresentations via
  Unsupervised Contrastive Learning

Probing Negative Sampling Strategies to Learn GraphRepresentations via Unsupervised Contrastive Learning

13 April 2021
Shiyi Chen
Ziao Wang
Xinni Zhang
Xiaofeng Zhang
Dan Peng
    SSL
ArXivPDFHTML

Papers citing "Probing Negative Sampling Strategies to Learn GraphRepresentations via Unsupervised Contrastive Learning"

12 / 12 papers shown
Title
Hard Negative Mixing for Contrastive Learning
Hard Negative Mixing for Contrastive Learning
Yannis Kalantidis
Mert Bulent Sariyildiz
Noé Pion
Philippe Weinzaepfel
Diane Larlus
SSL
122
643
0
02 Oct 2020
Graph Convolutional Networks using Heat Kernel for Semi-supervised
  Learning
Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning
Bingbing Xu
Huawei Shen
Qi Cao
Keting Cen
Xueqi Cheng
54
154
0
27 Jul 2020
Contrastive Multi-View Representation Learning on Graphs
Contrastive Multi-View Representation Learning on Graphs
Kaveh Hassani
Amir Hosein Khas Ahmadi
SSL
219
1,301
0
10 Jun 2020
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
179
12,065
0
13 Nov 2019
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
143
861
0
31 Jul 2019
Link Prediction Based on Graph Neural Networks
Link Prediction Based on Graph Neural Networks
Muhan Zhang
Yixin Chen
GNN
79
1,929
0
27 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
141
1,513
0
30 Jan 2018
mixup: Beyond Empirical Risk Minimization
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
271
9,759
0
25 Oct 2017
node2vec: Scalable Feature Learning for Networks
node2vec: Scalable Feature Learning for Networks
Aditya Grover
J. Leskovec
186
10,856
0
03 Jul 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral
  Filtering
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
M. Defferrard
Xavier Bresson
P. Vandergheynst
GNN
327
7,646
0
30 Jun 2016
subgraph2vec: Learning Distributed Representations of Rooted Sub-graphs
  from Large Graphs
subgraph2vec: Learning Distributed Representations of Rooted Sub-graphs from Large Graphs
A. Narayanan
Mahinthan Chandramohan
Lihui Chen
Yang Liu
S. Saminathan
GNN
58
157
0
29 Jun 2016
DeepWalk: Online Learning of Social Representations
DeepWalk: Online Learning of Social Representations
Bryan Perozzi
Rami Al-Rfou
Steven Skiena
HAI
252
9,769
0
26 Mar 2014
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