InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization

31 July 2019

Jian Tang

Papers citing "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization"

50 / 157 papers shown

Title
Molecular Contrastive Learning with Chemical Element Knowledge Graph Yin Fang Qiang Zhang Haihong Yang Xiang Zhuang Shumin Deng Wen Zhang Minghai Qin Zhuo Chen Xiaohui Fan Huajun Chen 15 108 0 01 Dec 2021
Imbalanced Graph Classification via Graph-of-Graph Neural Networks Yu-Chiang Frank Wang Yuying Zhao Neil Shah Tyler Derr 25 47 0 01 Dec 2021
Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming Yizhen Zheng Ming Jin Shirui Pan Yuan-Fang Li Hao Peng Ming Li Zhao‐Rui Li SSL 33 24 0 20 Nov 2021
InfoGCL: Information-Aware Graph Contrastive Learning Dongkuan Xu Wei Cheng Dongsheng Luo Haifeng Chen Xiang Zhang 33 192 0 28 Oct 2021
Graph Communal Contrastive Learning Bolian Li Baoyu Jing Hanghang Tong 31 57 0 28 Oct 2021
Pairwise Half-graph Discrimination: A Simple Graph-level Self-supervised Strategy for Pre-training Graph Neural Networks Pengyong Li Jun Wang Ziliang Li Yixuan Qiao Xianggen Liu Fei Ma Peng Gao Sen Song Guowang Xie SSL 28 16 0 26 Oct 2021
A Variational Graph Autoencoder for Manipulation Action Recognition and Prediction Gamze Akyol Sanem Sariel E. Aksoy GNN DRL BDL 41 2 0 25 Oct 2021
Contrastive Learning for Neural Topic Model Thong Nguyen A. Luu 26 56 0 25 Oct 2021
Self-Supervised Representation Learning: Introduction, Advances and Challenges Linus Ericsson Henry Gouk Chen Change Loy Timothy M. Hospedales SSL OOD AI4TS 34 273 0 18 Oct 2021
Self-supervised Contrastive Attributed Graph Clustering Wei Xia Quanxue Gao Ming Yang Xinbo Gao SSL 61 29 0 15 Oct 2021
Pre-training Molecular Graph Representation with 3D Geometry Shengchao Liu Hanchen Wang Weiyang Liu Joan Lasenby Hongyu Guo Jian Tang 126 302 0 07 Oct 2021
Semi-Supervised Deep Learning for Multiplex Networks Anasua Mitra Priyesh Vijayan Ranbir Sanasam D. Goswami S. Parthasarathy Balaraman Ravindran GNN 35 18 0 05 Oct 2021
ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning Jun-Xiong Xia Lirong Wu Ge Wang Jintao Chen Stan Z. Li 25 120 0 05 Oct 2021
Motif-based Graph Self-Supervised Learning for Molecular Property Prediction Zaixin Zhang Qi Liu Hao Wang Chengqiang Lu Chee-Kong Lee SSL AI4CE 32 249 0 03 Oct 2021
Adaptive Multi-layer Contrastive Graph Neural Networks S. Shi Pengfei Xie Xu Luo Kai Qiao Linyuan Wang Jian Chen B. Yan OOD 19 5 0 29 Sep 2021
Local Augmentation for Graph Neural Networks Songtao Liu Rex Ying Hanze Dong Lanqing Li Tingyang Xu Yu Rong P. Zhao Junzhou Huang Dinghao Wu 45 91 0 08 Sep 2021
Towards Self-Explainable Graph Neural Network Enyan Dai Suhang Wang 36 84 0 26 Aug 2021
Graph Neural Networks: Methods, Applications, and Opportunities Lilapati Waikhom Ripon Patgiri GNN 37 42 0 24 Aug 2021
Adaptive Transfer Learning on Graph Neural Networks Xueting Han Zhenhuan Huang Bang An Jing Bai 30 59 0 19 Jul 2021
Interventional Video Grounding with Dual Contrastive Learning Guoshun Nan Rui Qiao Yao Xiao Jun Liu Sicong Leng H. Zhang Wei Lu 26 144 0 21 Jun 2021
Prototypical Graph Contrastive Learning Shuai Lin Pan Zhou Zi-Yuan Hu Shuojia Wang Ruihui Zhao Yefeng Zheng Liang Lin Eric P. Xing Xiaodan Liang 24 86 0 17 Jun 2021
Unsupervised Path Representation Learning with Curriculum Negative Sampling Sean Bin Yang Chenjuan Guo Jilin Hu Jiangtao Tang Bin Yang SSL 16 47 0 17 Jun 2021
Graph Contrastive Learning Automated Yuning You Tianlong Chen Yang Shen Zhangyang Wang 24 447 0 10 Jun 2021
Fairness-Aware Node Representation Learning Öykü Deniz Köse Yanning Shen 16 22 0 09 Jun 2021
Self-Supervised Graph Learning with Proximity-based Views and Channel Contrast Wei Zhuo Guang Tan SSL 19 0 0 07 Jun 2021
TCL: Transformer-based Dynamic Graph Modelling via Contrastive Learning Lu Wang Xiaofu Chang Shuang Li Yunfei Chu Hui Li Wei Zhang Xiaofeng He Le Song Jingren Zhou Hongxia Yang 24 51 0 17 May 2021
Improving Molecular Graph Neural Network Explainability with Orthonormalization and Induced Sparsity Ryan Henderson Djork-Arné Clevert F. Montanari 33 26 0 11 May 2021
Contrastive Attraction and Contrastive Repulsion for Representation Learning Huangjie Zheng Xu Chen Jiangchao Yao Hongxia Yang Chunyuan Li Ya-Qin Zhang Hao Zhang Ivor Tsang Jingren Zhou Mingyuan Zhou SSL 42 12 0 08 May 2021
Learning Graph Representation by Aggregating Subgraphs via Mutual Information Maximization Chenguang Wang Ziwen Liu SSL 33 17 0 24 Mar 2021
DIG: A Turnkey Library for Diving into Graph Deep Learning Research Meng Liu Youzhi Luo Limei Wang Yaochen Xie Haonan Yuan ... Haoran Liu Cong Fu Bora Oztekin Xuan Zhang Shuiwang Ji GNN 24 118 0 23 Mar 2021
Towards Robust Graph Contrastive Learning Nikola Jovanović Zhao Meng Lukas Faber Roger Wattenhofer SSL 26 33 0 25 Feb 2021
Self-Supervised Learning of Graph Neural Networks: A Unified Review Yaochen Xie Zhao Xu Jingtun Zhang Zhengyang Wang Shuiwang Ji SSL 33 324 0 22 Feb 2021
Large-Scale Representation Learning on Graphs via Bootstrapping S. Thakoor Corentin Tallec M. G. Azar Mehdi Azabou Eva L. Dyer Rémi Munos Petar Velivcković Michal Valko SSL 29 217 0 12 Feb 2021
SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism Qingyun Sun Jianxin Li Hao Peng Jia Wu Yuanxing Ning Phillip S. Yu Lifang He 24 162 0 20 Jan 2021
Label Contrastive Coding based Graph Neural Network for Graph Classification Yuxiang Ren Jiyang Bai Jiawei Zhang 34 26 0 14 Jan 2021
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 25 115 0 16 Dec 2020
Bipartite Graph Embedding via Mutual Information Maximization Jiangxia Cao Xixun Lin Shu Guo Luchen Liu Tingwen Liu Bin Wang 80 110 0 10 Dec 2020
Utilising Graph Machine Learning within Drug Discovery and Development Thomas Gaudelet Ben Day Arian R. Jamasb Jyothish Soman Cristian Regep ... Jian Tang D. Roblin Tom L. Blundell M. Bronstein J. Taylor-King AI4CE 27 36 0 09 Dec 2020
Towards Domain-Agnostic Contrastive Learning Vikas Verma Minh-Thang Luong Kenji Kawaguchi Hieu H. Pham Quoc V. Le SSL 15 115 0 09 Nov 2020
Self-supervised Graph Learning for Recommendation Jiancan Wu Xiang Wang Fuli Feng Xiangnan He Liang Chen Jianxun Lian Xing Xie SSL 11 1,115 0 21 Oct 2020
Masked Contrastive Representation Learning for Reinforcement Learning Jinhua Zhu Yingce Xia Lijun Wu Jiajun Deng Wen-gang Zhou Tao Qin Houqiang Li SSL OffRL 34 55 0 15 Oct 2020
Graph Information Bottleneck for Subgraph Recognition Junchi Yu Tingyang Xu Yu Rong Yatao Bian Junzhou Huang Ran He 22 153 0 12 Oct 2020
Contrastive Learning with Hard Negative Samples Joshua Robinson Ching-Yao Chuang S. Sra Stefanie Jegelka SSL 72 759 0 09 Oct 2020
GraphCrop: Subgraph Cropping for Graph Classification Yiwei Wang Wei Wang Yuxuan Liang Yujun Cai Bryan Hooi 17 57 0 22 Sep 2020
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization Qi Zhu Carl Yang Yidan Xu Haonan Wang Chao Zhang Jiawei Han 39 116 0 11 Sep 2020
Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion Kun Zhou Wayne Xin Zhao Shuqing Bian Yuanhang Zhou Ji-Rong Wen Jingsong Yu 39 315 0 08 Jul 2020
GPT-GNN: Generative Pre-Training of Graph Neural Networks Ziniu Hu Yuxiao Dong Kuansan Wang Kai-Wei Chang Yizhou Sun SSL AI4CE 18 547 0 27 Jun 2020
Self-Supervised Graph Transformer on Large-Scale Molecular Data Yu Rong Yatao Bian Tingyang Xu Wei-yang Xie Ying Wei Wenbing Huang Junzhou Huang AI4CE 19 25 0 18 Jun 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 40 931 0 17 Jun 2020
Self-supervised Learning: Generative or Contrastive Xiao Liu Fanjin Zhang Zhenyu Hou Zhaoyu Wang Li Mian Jing Zhang Jie Tang SSL 50 1,586 0 15 Jun 2020