Self-Supervised Learning of Graph Neural Networks: A Unified Review

22 February 2021

Papers citing "Self-Supervised Learning of Graph Neural Networks: A Unified Review"

50 / 158 papers shown

Title
DyG2Vec: Efficient Representation Learning for Dynamic Graphs Mohammad Ali Alomrani Mahdi Biparva Yingxue Zhang Mark J. Coates AI4TS 36 3 0 30 Oct 2022
Federated Graph Representation Learning using Self-Supervision Susheel Suresh Daniel Godbout Arko Provo Mukherjee Mayank Shrivastava Jennifer Neville Pan Li OOD FedML 38 2 0 27 Oct 2022
Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative Tianxin Wei Yuning You Tianlong Chen Yang Shen Jingrui He Zhangyang Wang 29 45 0 07 Oct 2022
Empowering Graph Representation Learning with Test-Time Graph Transformation Wei Jin Tong Zhao Jiayu Ding Yozen Liu Jiliang Tang Neil Shah OOD 86 60 0 07 Oct 2022
Automated Graph Self-supervised Learning via Multi-teacher Knowledge Distillation Lirong Wu Yufei Huang Haitao Lin Zicheng Liu Tianyu Fan Stan Z. Li SSL 56 5 0 05 Oct 2022
Improving Molecular Pretraining with Complementary Featurizations Yanqiao Zhu Dingshuo Chen Yuanqi Du Yingze Wang Qiang Liu Shu Wu AI4CE 39 6 0 29 Sep 2022
Graph Soft-Contrastive Learning via Neighborhood Ranking Zhiyuan Ning P. Wang Pengyang Wang Ziyue Qiao Wei Fan Denghui Zhang Yi Du Yuanchun Zhou 23 14 0 28 Sep 2022
Graph Neural Networks for Molecules Yuyang Wang Zijie Li A. Farimani GNN AI4CE 45 20 0 12 Sep 2022
Self-Supervised Learning for Anomalous Channel Detection in EEG Graphs: Application to Seizure Analysis Thi Kieu Khanh Ho Narges Armanfard 37 43 0 15 Aug 2022
Learning Hierarchical Protein Representations via Complete 3D Graph Networks Limei Wang Haoran Liu Yi Liu Jerry Kurtin Shuiwang Ji GNN 33 55 0 26 Jul 2022
Unsupervised pre-training of graph transformers on patient population graphs Chantal Pellegrini Nassir Navab Anees Kazi MedIm AI4CE 44 11 0 21 Jul 2022
Does GNN Pretraining Help Molecular Representation? Ruoxi Sun Hanjun Dai Adams Wei Yu SSL AI4CE GNN 6 70 0 13 Jul 2022
Features Based Adaptive Augmentation for Graph Contrastive Learning Adnan Ali Jinlong Li OOD 24 7 0 05 Jul 2022
Molecular Geometry Pretraining with SE(3)-Invariant Denoising Distance Matching Shengchao Liu Hongyu Guo Jian Tang 23 77 0 27 Jun 2022
Wiener Graph Deconvolutional Network Improves Graph Self-Supervised Learning Jiashun Cheng Man Li Jia Li Fugee Tsung SSL 31 14 0 26 Jun 2022
Evaluation of Contrastive Learning with Various Code Representations for Code Clone Detection Maksim Zubkov Egor Spirin Egor Bogomolov T. Bryksin 46 4 0 17 Jun 2022
Evaluating Self-Supervised Learning for Molecular Graph Embeddings Hanchen Wang Jean Kaddour Shengchao Liu Jian Tang Joan Lasenby Qi Liu 27 20 0 16 Jun 2022
Taxonomy of Benchmarks in Graph Representation Learning Renming Liu Semih Cantürk Frederik Wenkel Sarah McGuire Devin Kreuzer ... Michael Perlmutter Bastian Alexander Rieck M. Hirn Guy Wolf Ladislav Rampášek OOD 21 13 0 15 Jun 2022
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 22 121 0 31 May 2022
Heterogeneous Graph Neural Networks using Self-supervised Reciprocally Contrastive Learning Cuiying Huo Dongxiao He Peican Zhu Di Jin Jianwu Dang Weixiong Zhang Witold Pedrycz Lingfei Wu SSL 25 3 0 30 Apr 2022
Augmentation-Free Graph Contrastive Learning with Performance Guarantee Haonan Wang Jieyu Zhang Qi Zhu Wei Huang 30 31 0 11 Apr 2022
Exploring Edge Disentanglement for Node Classification Tianxiang Zhao Xiang Zhang Suhang Wang 35 35 0 23 Feb 2022
Graph Auto-Encoder Via Neighborhood Wasserstein Reconstruction Mingyue Tang Carl Yang Pan Li GNN AI4CE 41 55 0 18 Feb 2022
Graph Data Augmentation for Graph Machine Learning: A Survey Tong Zhao Wei Jin Yozen Liu Yingheng Wang Gang Liu Stephan Günnemann Neil Shah Meng Jiang OOD 30 79 0 17 Feb 2022
Task-Agnostic Graph Explanations Yaochen Xie S. Katariya Xianfeng Tang E-Wen Huang Nikhil S. Rao Karthik Subbian Shuiwang Ji 43 25 0 16 Feb 2022
Self-Supervised Representation Learning via Latent Graph Prediction Yaochen Xie Zhao Xu Shuiwang Ji SSL 22 30 0 16 Feb 2022
Data Augmentation for Deep Graph Learning: A Survey Kaize Ding Zhe Xu Hanghang Tong Huan Liu OOD GNN 27 218 0 16 Feb 2022
Out-Of-Distribution Generalization on Graphs: A Survey Haoyang Li Xin Wang Ziwei Zhang Wenwu Zhu OOD CML 24 97 0 16 Feb 2022
Modularity-Aware Graph Autoencoders for Joint Community Detection and Link Prediction Guillaume Salha-Galvan J. Lutzeyer George Dasoulas Romain Hennequin Michalis Vazirgiannis 13 49 0 02 Feb 2022
Learning Graph Augmentations to Learn Graph Representations Kaveh Hassani Amir Hosein Khas Ahmadi 51 21 0 24 Jan 2022
Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations Yuning You Tianlong Chen Zhangyang Wang Yang Shen SSL 27 61 0 04 Jan 2022
Extending the WILDS Benchmark for Unsupervised Adaptation Shiori Sagawa Pang Wei Koh Tony Lee Irena Gao Sang Michael Xie ... Kate Saenko Tatsunori Hashimoto Sergey Levine Chelsea Finn Percy Liang OOD 18 97 0 09 Dec 2021
Augmentation-Free Self-Supervised Learning on Graphs Namkyeong Lee Junseok Lee Chanyoung Park 62 203 0 05 Dec 2021
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction Eli Chien Wei-Cheng Chang Cho-Jui Hsieh Hsiang-Fu Yu Jiong Zhang O. Milenkovic Inderjit S Dhillon 154 130 0 29 Oct 2021
Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing Aadarsh Sahoo Rutav Shah Rameswar Panda Kate Saenko Abir Das 32 63 0 28 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
Self-supervised learning methods and applications in medical imaging analysis: A survey Saeed Shurrab R. Duwairi OOD 37 176 0 17 Sep 2021
An Empirical Study of Graph Contrastive Learning Yanqiao Zhu Yichen Xu Qiang Liu Shu Wu 16 167 0 02 Sep 2021
Group Contrastive Self-Supervised Learning on Graphs Xinyi Xu Cheng Deng Yaochen Xie Shuiwang Ji SSL 6 17 0 20 Jul 2021
Evaluating Modules in Graph Contrastive Learning Ganqu Cui Y. Du Cheng Yang Jie Zhou Liang Xu Xing Zhou Lifeng Wang Zhiyuan Liu 23 3 0 15 Jun 2021
Graph Contrastive Learning Automated Yuning You Tianlong Chen Yang Shen Zhangyang Wang 24 447 0 10 Jun 2021
Adversarial Graph Augmentation to Improve Graph Contrastive Learning Susheel Suresh Pan Li Cong Hao Jennifer Neville AAML 19 333 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
GraphVICRegHSIC: Towards improved self-supervised representation learning for graphs with a hyrbid loss function Sayan Nag SSL 30 0 0 25 May 2021
Self-supervised Learning on Graphs: Contrastive, Generative,or Predictive Lirong Wu Haitao Lin Zhangyang Gao Cheng Tan Stan.Z.Li SSL 28 241 0 16 May 2021
FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks Chaoyang He Keshav Balasubramanian Emir Ceyani Carl Yang Han Xie ... Yu Rong P. Zhao Junzhou Huang M. Annavaram Salman Avestimehr FedML OOD 26 2 0 14 Apr 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
Graph Self-Supervised Learning: A Survey Yixin Liu Ming Jin Shirui Pan Chuan Zhou Yu Zheng Feng Xia Philip S. Yu SSL 21 543 0 27 Feb 2021
GraphDF: A Discrete Flow Model for Molecular Graph Generation Youzhi Luo Keqiang Yan Shuiwang Ji DRL 185 187 0 01 Feb 2021
Explainability in Graph Neural Networks: A Taxonomic Survey Hao Yuan Haiyang Yu Shurui Gui Shuiwang Ji 167 593 0 31 Dec 2020