Geometry Contrastive Learning on Heterogeneous Graphs

25 June 2022

Papers citing "Geometry Contrastive Learning on Heterogeneous Graphs"

36 / 36 papers shown

Title
Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning Xiao Wang Nian Liu Hui-jun Han C. Shi SSL 61 388 0 19 May 2021
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning Yixin Liu Zhao Li Shirui Pan Chen Gong Chuan Zhou George Karypis 101 302 0 27 Feb 2021
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources Xiao Wang Deyu Bo C. Shi Shaohua Fan Yanfang Ye Philip S. Yu AI4TS 72 305 0 30 Nov 2020
Graph Geometry Interaction Learning Shichao Zhu Shirui Pan Chuan Zhou Hongzhi Zhang Yanan Cao Bin Wang 101 92 0 23 Oct 2020
Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs Dasol Hwang Jinyoung Park Sunyoung Kwon KyungHyun Kim Jung-Woo Ha Hyunwoo J. Kim 88 68 0 16 Jul 2020
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training J. Qiu Qibin Chen Yuxiao Dong Jing Zhang Hongxia Yang Ming Ding Kuansan Wang Jie Tang SSL 205 952 0 17 Jun 2020
Contrastive Multi-View Representation Learning on Graphs Kaveh Hassani Amir Hosein Khas Ahmadi SSL 213 1,301 0 10 Jun 2020
Deep Graph Contrastive Representation Learning Yanqiao Zhu Yichen Xu Feng Yu Qiang Liu Shu Wu Liang Wang SSL 65 815 0 07 Jun 2020
Heterogeneous Graph Transformer Ziniu Hu Yuxiao Dong Kuansan Wang Yizhou Sun 266 1,200 0 03 Mar 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 327 18,721 0 13 Feb 2020
A Survey on Knowledge Graphs: Representation, Acquisition and Applications Shaoxiong Ji Shirui Pan Min Zhang Pekka Marttinen Philip S. Yu 290 1,980 0 02 Feb 2020
Heterogeneous Deep Graph Infomax Yuxiang Ren Bo Liu Chao Huang Peng Dai Liefeng Bo Jiawei Zhang 48 106 0 19 Nov 2019
Unsupervised Attributed Multiplex Network Embedding Chanyoung Park Donghyun Kim Jiawei Han Hwanjo Yu 52 256 0 15 Nov 2019
Constant Curvature Graph Convolutional Networks Gregor Bachmann Gary Bécigneul O. Ganea GNN 73 136 0 12 Nov 2019
Graph Transformer Networks Seongjun Yun Minbyul Jeong Raehyun Kim Jaewoo Kang Hyunwoo J. Kim 127 970 0 06 Nov 2019
Hyperbolic Graph Convolutional Neural Networks Ines Chami Rex Ying Christopher Ré J. Leskovec GNN 101 646 0 28 Oct 2019
Hyperbolic Graph Neural Networks Qi Liu Maximilian Nickel Douwe Kiela AI4CE GNN 71 380 0 28 Oct 2019
Contrastive Multiview Coding Yonglong Tian Dilip Krishnan Phillip Isola SSL 153 2,395 0 13 Jun 2019
Multi-relational Poincaré Graph Embeddings Ivana Balazevic Carl Allen Timothy M. Hospedales 65 267 0 23 May 2019
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 200 4,334 0 06 Mar 2019
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 216 7,623 0 01 Oct 2018
Deep Graph Infomax Petar Velickovic W. Fedus William L. Hamilton Pietro Lio Yoshua Bengio R. Devon Hjelm GNN 120 2,382 0 27 Sep 2018
Learning deep representations by mutual information estimation and maximization R. Devon Hjelm A. Fedorov Samuel Lavoie-Marchildon Karan Grewal Phil Bachman Adam Trischler Yoshua Bengio SSL DRL 290 2,661 0 20 Aug 2018
Hyperbolic Neural Networks O. Ganea Gary Bécigneul Thomas Hofmann 50 602 0 23 May 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 428 20,089 0 30 Oct 2017
Poincaré Embeddings for Learning Hierarchical Representations Maximilian Nickel Douwe Kiela 81 1,301 0 22 May 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 480 7,431 0 04 Apr 2017
Modeling Relational Data with Graph Convolutional Networks Michael Schlichtkrull Thomas Kipf Peter Bloem Rianne van den Berg Ivan Titov Max Welling GNN 178 4,807 0 17 Mar 2017
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 703 3,274 0 24 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 579 28,999 0 09 Sep 2016
node2vec: Scalable Feature Learning for Networks Aditya Grover J. Leskovec 183 10,856 0 03 Jul 2016
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization Sebastian Nowozin Botond Cseke Ryota Tomioka GAN 127 1,654 0 02 Jun 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.5K 149,842 0 22 Dec 2014
DeepWalk: Online Learning of Social Representations Bryan Perozzi Rami Al-Rfou Steven Skiena HAI 252 9,769 0 26 Mar 2014
Spectral Networks and Locally Connected Networks on Graphs Joan Bruna Wojciech Zaremba Arthur Szlam Yann LeCun GNN 191 4,870 0 21 Dec 2013
Hierarchical structure and the prediction of missing links in networks A. Clauset Cristopher Moore Mark E. J. Newman 92 2,072 0 04 Nov 2008