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 / 113 papers shown

Title
Let Invariant Rationale Discovery Inspire Graph Contrastive Learning Sihang Li Xiang Wang An Zhang Y. Wu Xiangnan He Tat-Seng Chua 19 93 0 16 Jun 2022
Semi-Supervised Hierarchical Graph Classification Jia Li Yongfeng Huang Heng Chang Yu Rong 24 27 0 11 Jun 2022
Metric Based Few-Shot Graph Classification Donato Crisostomi Simone Antonelli Valentino Maiorca Luca Moschella R. Marin Emanuele Rodolà 22 5 0 08 Jun 2022
Mixed Graph Contrastive Network for Semi-Supervised Node Classification Xihong Yang Yue Liu Sihang Zhou Xinwang Liu En Zhu Sihang Zhou Xinwang Liu En Zhu SSL 37 26 0 06 Jun 2022
Graph-level Neural Networks: Current Progress and Future Directions Ge Zhang Jia Wu Jian Yang Shan Xue Wenbin Hu Chuan Zhou Hao Peng Quan.Z Sheng Charu C. Aggarwal GNN AI4CE 36 0 0 31 May 2022
GraphMAE: Self-Supervised Masked Graph Autoencoders Zhenyu Hou Xiao Liu Yukuo Cen Yuxiao Dong Hongxia Yang C. Wang Jie Tang SSL 42 544 0 22 May 2022
Unified GCNs: Towards Connecting GCNs with CNNs Ziyan Zhang Bo Jiang Bin Luo GNN 23 1 0 26 Apr 2022
MolGenSurvey: A Systematic Survey in Machine Learning Models for Molecule Design Yuanqi Du Tianfan Fu Jimeng Sun Shengchao Liu AI4CE 23 86 0 28 Mar 2022
Knowledge Base Question Answering by Case-based Reasoning over Subgraphs Rajarshi Das Ameya Godbole Ankita Rajaram Naik Elliot Tower Robin Jia Manzil Zaheer Hannaneh Hajishirzi Andrew McCallum 17 53 0 22 Feb 2022
Graph Auto-Encoder Via Neighborhood Wasserstein Reconstruction Mingyue Tang Carl Yang Pan Li GNN AI4CE 41 55 0 18 Feb 2022
Graph Masked Autoencoders with Transformers Sixiao Zhang Hongxu Chen Haoran Yang Xiangguo Sun Philip S. Yu Guandong Xu 13 18 0 17 Feb 2022
Task-Agnostic Graph Explanations Yaochen Xie S. Katariya Xianfeng Tang E-Wen Huang Nikhil S. Rao Karthik Subbian Shuiwang Ji 30 25 0 16 Feb 2022
A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications Jun-Xiong Xia Yanqiao Zhu Yuanqi Du Stan Z. Li VLM 30 41 0 16 Feb 2022
Cross-Domain Few-Shot Graph Classification Kaveh Hassani 8 31 0 20 Jan 2022
Mitigating cold start problems in drug-target affinity prediction with interaction knowledge transferring T. Nguyen Thin Nguyen T. Tran 8 14 0 16 Jan 2022
Bootstrapping Informative Graph Augmentation via A Meta Learning Approach Hang Gao Jiangmeng Li Wenwen Qiang Lingyu Si Fuchun Sun Changwen Zheng 13 11 0 11 Jan 2022
Measuring and Sampling: A Metric-guided Subgraph Learning Framework for Graph Neural Network Jiyang Bai Yuxiang Ren Jiawei Zhang 25 3 0 30 Dec 2021
Max-Margin Contrastive Learning Anshul B. Shah S. Sra Ramalingam Chellappa A. Cherian SSL 11 44 0 21 Dec 2021
Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation Rongrong Ma Guansong Pang Ling-Hao Chen A. Hengel 22 90 0 19 Dec 2021
Improving Subgraph Recognition with Variational Graph Information Bottleneck Junchi Yu Jie Cao Ran He 22 53 0 18 Dec 2021
An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering Yiqi Wang Chaozhuo Li Zheng Liu Mingzheng Li Jiliang Tang Xing Xie Lei Chen Philip S. Yu 19 23 0 14 Dec 2021
A Multi-Strategy based Pre-Training Method for Cold-Start Recommendation Bowen Hao Hongzhi Yin Jing Zhang Cuiping Li Hong Chen 21 21 0 04 Dec 2021
Self-supervised Graph Learning for Occasional Group Recommendation Bowen Hao Hongzhi Yin Cuiping Li Hong Chen 22 6 0 04 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 23 24 0 20 Nov 2021
InfoGCL: Information-Aware Graph Contrastive Learning Dongkuan Xu Wei Cheng Dongsheng Luo Haifeng Chen Xiang Zhang 33 191 0 28 Oct 2021
Graph Communal Contrastive Learning Bolian Li Baoyu Jing Hanghang Tong 19 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 18 16 0 26 Oct 2021
A Variational Graph Autoencoder for Manipulation Action Recognition and Prediction Gamze Akyol Sanem Sariel E. Aksoy GNN DRL BDL 27 2 0 25 Oct 2021
Self-Supervised Representation Learning: Introduction, Advances and Challenges Linus Ericsson H. Gouk Chen Change Loy Timothy M. Hospedales SSL OOD AI4TS 27 268 0 18 Oct 2021
Pre-training Molecular Graph Representation with 3D Geometry Shengchao Liu Hanchen Wang Weiyang Liu Joan Lasenby Hongyu Guo Jian Tang 112 302 0 07 Oct 2021
Semi-Supervised Deep Learning for Multiplex Networks Anasua Mitra Priyesh Vijayan Ranbir Sanasam D. Goswami S. Parthasarathy Balaraman Ravindran GNN 21 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
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 34 91 0 08 Sep 2021
Towards Self-Explainable Graph Neural Network Enyan Dai Suhang Wang 25 83 0 26 Aug 2021
Adaptive Transfer Learning on Graph Neural Networks Xueting Han Zhenhuan Huang Bang An Jing Bai 22 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 16 144 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 16 86 0 17 Jun 2021
Graph Contrastive Learning Automated Yuning You Tianlong Chen Yang Shen Zhangyang Wang 13 447 0 10 Jun 2021
Self-Supervised Graph Learning with Proximity-based Views and Channel Contrast Wei Zhuo Guang Tan SSL 11 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 14 51 0 17 May 2021
Improving Molecular Graph Neural Network Explainability with Orthonormalization and Induced Sparsity Ryan Henderson Djork-Arné Clevert F. Montanari 17 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 34 12 0 08 May 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 13 215 0 12 Feb 2021
Label Contrastive Coding based Graph Neural Network for Graph Classification Yuxiang Ren Jiyang Bai Jiawei Zhang 29 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 23 115 0 16 Dec 2020
Bipartite Graph Embedding via Mutual Information Maximization Jiangxia Cao Xixun Lin Shu Guo Luchen Liu Tingwen Liu Bin Wang 72 110 0 10 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
Masked Contrastive Representation Learning for Reinforcement Learning Jinhua Zhu Yingce Xia Lijun Wu Jiajun Deng Wen-gang Zhou Tao Qin Houqiang Li SSL OffRL 21 55 0 15 Oct 2020