Perturbation-augmented Graph Convolutional Networks: A Graph Contrastive Learning architecture for effective node classification tasks

Semi-Supervised Classification with Graph Convolutional Networks

Thomas Kipf, Max Welling · arXiv (Cornell University) · 2016 · 8.1K citations · Full text

Computing, Computer Science, Feature Engineering +16

A Simple Framework for Contrastive Learning of Visual Representations

Ting Chen, Simon Kornblith, Mohammad Norouzi et al. · arXiv (Cornell University) · 2020 · 7.3K citations · Full text

Computing, Computer Science, Computer Vision +16

Inductive Representation Learning on Large Graphs

William L. Hamilton, Rex Ying, Jure Leskovec · arXiv (Cornell University) · 2017 · 4.5K citations · Full text

Computing, Computer Science, Feature Engineering +15

Heterogeneous Graph Attention Network

Xiao Wang, Houye Ji, Chuan Shi et al. · 2019 · 2.9K citations · Full text

Computing, Computer Science, Heterogeneous Computing +13

Pruning Convolutional Neural Networks for Resource Efficient Inference

Pavlo Molchanov, Stephen Tyree, Tero Karras et al. · arXiv (Cornell University) · 2016 · 1.2K citations · Full text

Computing, Computer Science, Computer Vision +16