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

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

11 / 11 papers shown

Title
Hard Negative Mixing for Contrastive Learning Yannis Kalantidis Mert Bulent Sariyildiz Noé Pion Philippe Weinzaepfel Diane Larlus SSL 120 643 0 02 Oct 2020
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 Kaveh Hassani Amir Hosein Khas Ahmadi SSL 219 1,301 0 10 Jun 2020
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 173 12,065 0 13 Nov 2019
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 Muhan Zhang Yixin Chen GNN 79 1,923 0 27 Feb 2018
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling Jie Chen Tengfei Ma Cao Xiao GNN 141 1,513 0 30 Jan 2018
node2vec: Scalable Feature Learning for Networks Aditya Grover J. Leskovec 183 10,856 0 03 Jul 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering M. Defferrard Xavier Bresson P. Vandergheynst GNN 321 7,646 0 30 Jun 2016
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 Bryan Perozzi Rami Al-Rfou Steven Skiena HAI 252 9,769 0 26 Mar 2014

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