Deep Graph Infomax

27 September 2018

Papers citing "Deep Graph Infomax"

50 / 368 papers shown

Title
Deep Contrastive Multiview Network Embedding Mengqi Zhang Yanqiao Zhu Qiang Liu Shu Wu Liang Wang 30 1 0 16 Aug 2021
A Framework for Joint Unsupervised Learning of Cluster-Aware Embedding for Heterogeneous Networks R. A. Khan M. Kleinsteuber 27 3 0 09 Aug 2021
Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data Qi Zhu Natalia Ponomareva Jiawei Han Bryan Perozzi OOD 30 106 0 02 Aug 2021
Effective and Interpretable fMRI Analysis via Functional Brain Network Generation Xuan Kan Hejie Cui Y. Guo Carl Yang 34 6 0 23 Jul 2021
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks Zhiqian Chen Fanglan Chen Lei Zhang Taoran Ji Kaiqun Fu Liang Zhao Feng Chen Lingfei Wu Charu C. Aggarwal Chang-Tien Lu 41 18 0 21 Jul 2021
Large-scale graph representation learning with very deep GNNs and self-supervision Ravichandra Addanki Peter W. Battaglia David Budden Andreea Deac Jonathan Godwin ... Wai Lok Sibon Li Alvaro Sanchez-Gonzalez Jacklynn Stott S. Thakoor Petar Velivcković SSL AI4CE 27 25 0 20 Jul 2021
Adaptive Transfer Learning on Graph Neural Networks Xueting Han Zhenhuan Huang Bang An Jing Bai 30 59 0 19 Jul 2021
Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering Nairouz Mrabah Mohamed Bouguessa M. Touati Riadh Ksantini 35 62 0 19 Jul 2021
AID-Purifier: A Light Auxiliary Network for Boosting Adversarial Defense Duhun Hwang Eunjung Lee Wonjong Rhee AAML 167 14 0 14 Jul 2021
BrainNNExplainer: An Interpretable Graph Neural Network Framework for Brain Network based Disease Analysis Hejie Cui Wei Dai Yanqiao Zhu Xiaoxiao Li Lifang He Carl Yang 26 27 0 11 Jul 2021
Joint Embedding of Structural and Functional Brain Networks with Graph Neural Networks for Mental Illness Diagnosis Yanqiao Zhu Hejie Cui Lifang He Lichao Sun Carl Yang 28 36 0 07 Jul 2021
CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding Dong Wang Ning Ding Pijian Li Haitao Zheng AAML 37 115 0 01 Jul 2021
A Survey on Graph-Based Deep Learning for Computational Histopathology David Ahmedt-Aristizabal M. Armin Simon Denman Clinton Fookes L. Petersson GNN AI4CE 19 108 0 01 Jul 2021
Decomposed Mutual Information Estimation for Contrastive Representation Learning Alessandro Sordoni Nouha Dziri Hannes Schulz Geoffrey J. Gordon Philip Bachman Rémi Tachet des Combes SSL 24 29 0 25 Jun 2021
You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks Eli Chien Chao Pan Jianhao Peng O. Milenkovic GNN 46 128 0 24 Jun 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
Self-supervised Incremental Deep Graph Learning for Ethereum Phishing Scam Detection Shucheng Li Fengyuan Xu Runchuan Wang Sheng Zhong GNN 29 21 0 18 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
Automated Self-Supervised Learning for Graphs Wei Jin Xiaorui Liu Xiangyu Zhao Yao Ma Neil Shah Jiliang Tang SSL 29 76 0 10 Jun 2021
Fairness-Aware Node Representation Learning Öykü Deniz Köse Yanning Shen 16 22 0 09 Jun 2021
Graph-MLP: Node Classification without Message Passing in Graph Yang Hu Haoxuan You Zhecan Wang Zhicheng Wang Erjin Zhou Yue Gao 27 108 0 08 Jun 2021
Self-Supervised Graph Learning with Proximity-based Views and Channel Contrast Wei Zhuo Guang Tan SSL 19 0 0 07 Jun 2021
Graph Barlow Twins: A self-supervised representation learning framework for graphs Piotr Bielak Tomasz Kajdanowicz Nitesh V. Chawla SSL 21 133 0 04 Jun 2021
Learning from Counterfactual Links for Link Prediction Tong Zhao Gang Liu Daheng Wang Wenhao Yu Meng Jiang CML OOD 28 93 0 03 Jun 2021
Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning Xiao Wang Nian Liu Hui-jun Han C. Shi SSL 18 375 0 19 May 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
A Hyperbolic-to-Hyperbolic Graph Convolutional Network Jindou Dai Yuwei Wu Zhi Gao Yunde Jia 32 77 0 14 Apr 2021
Contextual Scene Augmentation and Synthesis via GSACNet Mohammad Keshavarzi Flaviano Christian Reyes R. Shrivastava Oladapo Afolabi Luisa Caldas An Yang 3DPC 32 4 0 29 Mar 2021
Learning Graph Representation by Aggregating Subgraphs via Mutual Information Maximization Chenguang Wang Ziwen Liu SSL 33 17 0 24 Mar 2021
Structure-Enhanced Meta-Learning For Few-Shot Graph Classification Shunyu Jiang Fuli Feng Weijia Chen Xiang Li Xiangnan He 25 18 0 05 Mar 2021
Self-Supervised Multi-View Learning via Auto-Encoding 3D Transformations Xiang Gao Wei Hu Guo-Jun Qi 29 6 0 01 Mar 2021
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning Yixin Liu Zhao Li Shirui Pan Chen Gong Chuan Zhou George Karypis 37 289 0 27 Feb 2021
Towards a Unified Framework for Fair and Stable Graph Representation Learning Chirag Agarwal Himabindu Lakkaraju Marinka Zitnik 27 156 0 25 Feb 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 36 324 0 22 Feb 2021
Dissecting the Diffusion Process in Linear Graph Convolutional Networks Yifei Wang Yisen Wang Jiansheng Yang Zhouchen Lin GNN 44 77 0 22 Feb 2021
Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction Mehdi Azabou M. G. Azar Ran Liu Chi-Heng Lin Erik C. Johnson ... Lindsey Kitchell Keith B. Hengen William R. Gray Roncal Michal Valko Eva L. Dyer AI4TS 35 56 0 19 Feb 2021
HDMI: High-order Deep Multiplex Infomax Baoyu Jing Chanyoung Park Hanghang Tong 98 164 0 15 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
Efficient Graph Deep Learning in TensorFlow with tf_geometric Jun Hu Shengsheng Qian Quan Fang Youze Wang Quan Zhao Huaiwen Zhang Changsheng Xu GNN 31 53 0 27 Jan 2021
Calibrating and Improving Graph Contrastive Learning Kaili Ma Haochen Yang Han Yang Yongqiang Chen James Cheng 45 6 0 27 Jan 2021
Advances and Challenges in Conversational Recommender Systems: A Survey Chongming Gao Wenqiang Lei Xiangnan He Maarten de Rijke Tat-Seng Chua 136 273 0 23 Jan 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
SPAGAN: Shortest Path Graph Attention Network Yiding Yang Xinchao Wang Xiuming Zhang Junsong Yuan Dacheng Tao GNN 144 96 0 10 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