Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks

Analysis of a complex of statistical variables into principal components

H. Hotelling. 1933 · 1933

Earlier work this paper cites.

Weighted Graph Cuts Without Eigenvectors A Multilevel Approach

Inderjit S. Dhillon, Yuqiang Guan, and Brian Kulis. 2007 · 1957

Earlier work this paper cites.

A fast and high quality multilevel scheme for partitioning irregular graphs

George Karypis and Vipin Kumar. 1998 · 1998

Earlier work this paper cites.

Deep Residual Learning for Image Recognition

Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2016 · 2016

Earlier work this paper cites.

Inductive Representation Learning on Large Graphs. In NIPS

William L. Hamilton, Rex Ying, and Jure Leskovec. 2017 · 2017

Earlier work this paper cites.

Semi-Supervised Classification with Graph Convolutional Networks. In ICLR

Thomas N. Kipf and Max Welling. 2017 · 2017

Cited alongside, same era.

Automatic differentiation in PyTorch. In NIPS-W

Adam Paszke, Sam Gross, Soumith Chintala, Gregory Chanan, Edward Yang, Zachary DeVito, Zeming Lin, Alban Desmaison, Luca Antiga, and Adam Lerer. 2017 · 2017

Cited alongside, same era.

Learning Steady-States of Iterative Algorithms over Graphs. In ICML . 1114–1122

Hanjun Dai, Zornitsa Kozareva, Bo Dai, Alex Smola, and Le Song. 2018 · 2018

Cited alongside, same era.

Graph Attention Networks

Petar Veličković, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Liò, and Yoshua Bengio. 2018 · 2018

Cited alongside, same era.

FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling. In ICLR

Jie Chen, Tengfei Ma, and Cao Xiao. 2018a

Cited in the paper.

Stochastic Training of Graph Convolutional Networks with Variance Reduction. In ICML

Jianfei Chen, Jun Zhu, and Song Le. 2018b

Cited in the paper.

Inferring Networks of Substitutable and Complementary Products. In KDD

Julian McAuley, Rahul Pandey, and Jure Leskovec. 2015a

Cited in the paper.

Image-Based Recommendations on Styles and Substitutes. In SIGIR

Julian McAuley, Christopher Targett, Qinfeng Shi, and Anton van den Hengel. 2015b

Cited in the paper.

Graph Convolutional Neural Networks for Web-Scale Recommender Systems. In KDD

Rex Ying, Ruining He, Kaifeng Chen, Pong Eksombatchai, William L. Hamilton, and Jure Leskovec. 2018 · 2018

Later among the works it cites.

GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs. In UAI

Jiani Zhang, Xingjian Shi, Junyuan Xie, Hao Ma, Irwin King, and Dit-Yan Yeung. 2018 · 2018

Later among the works it cites.

Link Prediction Based on Graph Neural Networks. In NIPS

Muhan Zhang and Yixin Chen. 2018 · 2018

Later among the works it cites.

GeniePath: Graph Neural Networks with Adaptive Receptive Paths. In AAAI

Ziqi Liu, Chaochao Chen, Longfei Li, Jun Zhou, Xiaolong Li, Le Song, and Yuan Qi. 2019 · 2019

Closest in time.