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Motif-Driven Contrastive Learning of Graph Representations

Motif-Driven Contrastive Learning of Graph Representations

23 December 2020
Shichang Zhang
Ziniu Hu
Arjun Subramonian
Yizhou Sun
    SSL
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Papers citing "Motif-Driven Contrastive Learning of Graph Representations"

13 / 13 papers shown
Title
Molecular Geometry Pretraining with SE(3)-Invariant Denoising Distance
  Matching
Molecular Geometry Pretraining with SE(3)-Invariant Denoising Distance Matching
Shengchao Liu
Hongyu Guo
Jian Tang
42
78
0
27 Jun 2022
Pre-training via Denoising for Molecular Property Prediction
Pre-training via Denoising for Molecular Property Prediction
Sheheryar Zaidi
Michael Schaarschmidt
James Martens
Hyunjik Kim
Yee Whye Teh
Alvaro Sanchez-Gonzalez
Peter W. Battaglia
Razvan Pascanu
Jonathan Godwin
DiffM
AI4CE
85
124
0
31 May 2022
Graph Self-supervised Learning with Accurate Discrepancy Learning
Graph Self-supervised Learning with Accurate Discrepancy Learning
Dongki Kim
Jinheon Baek
Sung Ju Hwang
SSL
29
36
0
07 Feb 2022
Motif-based Graph Self-Supervised Learning for Molecular Property
  Prediction
Motif-based Graph Self-Supervised Learning for Molecular Property Prediction
Zaixin Zhang
Qi Liu
Hao Wang
Chengqiang Lu
Chee-Kong Lee
SSL
AI4CE
60
253
0
03 Oct 2021
Open Graph Benchmark: Datasets for Machine Learning on Graphs
Open Graph Benchmark: Datasets for Machine Learning on Graphs
Weihua Hu
Matthias Fey
Marinka Zitnik
Yuxiao Dong
Hongyu Ren
Bowen Liu
Michele Catasta
J. Leskovec
173
2,687
0
02 May 2020
Self-labelling via simultaneous clustering and representation learning
Self-labelling via simultaneous clustering and representation learning
Yuki M. Asano
Christian Rupprecht
Andrea Vedaldi
SSL
71
769
0
13 Nov 2019
SpanBERT: Improving Pre-training by Representing and Predicting Spans
SpanBERT: Improving Pre-training by Representing and Predicting Spans
Mandar Joshi
Danqi Chen
Yinhan Liu
Daniel S. Weld
Luke Zettlemoyer
Omer Levy
104
1,953
0
24 Jul 2019
Learning Representations by Maximizing Mutual Information Across Views
Learning Representations by Maximizing Mutual Information Across Views
Philip Bachman
R. Devon Hjelm
William Buchwalter
SSL
144
1,463
0
03 Jun 2019
GNNExplainer: Generating Explanations for Graph Neural Networks
GNNExplainer: Generating Explanations for Graph Neural Networks
Rex Ying
Dylan Bourgeois
Jiaxuan You
Marinka Zitnik
J. Leskovec
LLMAG
109
1,300
0
10 Mar 2019
Pre-training Graph Neural Networks with Kernels
Pre-training Graph Neural Networks with Kernels
Nicoló Navarin
D. V. Tran
A. Sperduti
49
27
0
16 Nov 2018
How Powerful are Graph Neural Networks?
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
134
7,554
0
01 Oct 2018
Neural Discrete Representation Learning
Neural Discrete Representation Learning
Aaron van den Oord
Oriol Vinyals
Koray Kavukcuoglu
BDL
SSL
OCL
143
4,928
0
02 Nov 2017
Probabilistic Latent Semantic Analysis
Probabilistic Latent Semantic Analysis
Thomas Hofmann
156
2,805
0
23 Jan 2013
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