An Empirical Study of Graph Contrastive Learning

2 September 2021

Papers citing "An Empirical Study of Graph Contrastive Learning"

31 / 31 papers shown

Title
Enhancing Graph Self-Supervised Learning with Graph Interplay Xinjian Zhao Wei Pang Xiangru Jian Yaoyao Xu Chaolong Ying Tianshu Yu 51 0 0 17 Jan 2025
PyG-SSL: A Graph Self-Supervised Learning Toolkit Lecheng Zheng Baoyu Jing Zihao Li Zhichen Zeng Tianxin Wei ... Lihui Liu Dongqi Fu Jiaxuan You Hanghang Tong Jingrui He 56 5 0 31 Dec 2024
Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation Meihan Liu Zhen Zhang Jiachen Tang Jiajun Bu Bingsheng He Sheng Zhou 33 3 0 09 Jul 2024
Federated Graph Semantic and Structural Learning Wenke Huang Guancheng Wan Mang Ye Bo Du FedML 34 42 0 27 Jun 2024
Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark Yili Wang Yixin Liu Xu Shen Chenyu Li Kaize Ding Rui Miao Ying Wang Shirui Pan Xin Wang 42 8 0 21 Jun 2024
Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks Jiarong Xu Renhong Huang Xin Jiang Yuxuan Cao Carl Yang Chunping Wang Yang Yang AI4CE 31 14 0 02 Nov 2023
Motif-aware Attribute Masking for Molecular Graph Pre-training Eric Inae Gang Liu Meng Jiang AI4CE 45 14 0 08 Sep 2023
LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation Xuheng Cai Chao Huang Lianghao Xia Xubin Ren 24 198 0 16 Feb 2023
Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive Learning Chaoxi Niu Guansong Pang Ling-Hao Chen 24 9 0 31 Jan 2023
SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking Xiang Li Tiandi Ye Caihua Shan Dongsheng Li Ming Gao SSL 36 30 0 29 Jan 2023
Graph Contrastive Learning for Multi-omics Data Nishant Rajadhyaksha Aarushi Chitkara 29 6 0 03 Jan 2023
Data Augmentation on Graphs: A Technical Survey Jiajun Zhou Chenxuan Xie Shengbo Gong Z. Wen Xiangyu Zhao Qi Xuan Xiaoniu Yang AI4TS 24 8 0 20 Dec 2022
Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification Zhen Tan Song Wang Kaize Ding Jundong Li Huan Liu 24 26 0 11 Dec 2022
Spectral Feature Augmentation for Graph Contrastive Learning and Beyond Yifei Zhang Hao Zhu Zixing Song Piotr Koniusz Irwin King 39 87 0 02 Dec 2022
Semi-Supervised Heterogeneous Graph Learning with Multi-level Data Augmentation Yingxi Chen Siwei Qiang Mingming Ha Xiaolei Liu Shaoshuai Li Lingfeng Yuan Xiaobo Guo Zheng Hua Zhu 19 2 0 30 Nov 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
Graph Soft-Contrastive Learning via Neighborhood Ranking Zhiyuan Ning P. Wang Pengyang Wang Ziyue Qiao Wei Fan Denghui Zhang Yi Du Yuanchun Zhou 23 13 0 28 Sep 2022
Analyzing Data-Centric Properties for Graph Contrastive Learning Puja Trivedi Ekdeep Singh Lubana Mark Heimann Danai Koutra Jayaraman J. Thiagarajan 28 11 0 04 Aug 2022
Features Based Adaptive Augmentation for Graph Contrastive Learning Adnan Ali Jinlong Li OOD 24 7 0 05 Jul 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
Augmentation-Free Graph Contrastive Learning with Performance Guarantee Haonan Wang Jieyu Zhang Qi Zhu Wei Huang 30 31 0 11 Apr 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
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
Deep Contrastive Multiview Network Embedding Mengqi Zhang Yanqiao Zhu Qiang Liu Shu Wu Liang Wang 22 1 0 16 Aug 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 18 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 20 36 0 07 Jul 2021
Understanding self-supervised Learning Dynamics without Contrastive Pairs Yuandong Tian Xinlei Chen Surya Ganguli SSL 138 279 0 12 Feb 2021
Calibrating and Improving Graph Contrastive Learning Kaili Ma Haochen Yang Han Yang Yongqiang Chen James Cheng 45 6 0 27 Jan 2021
BYOL works even without batch statistics Pierre Harvey Richemond Jean-Bastien Grill Florent Altché Corentin Tallec Florian Strub ... Samuel L. Smith Soham De Razvan Pascanu Bilal Piot Michal Valko SSL 250 114 0 20 Oct 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 189 916 0 02 Mar 2020
MoleculeNet: A Benchmark for Molecular Machine Learning Zhenqin Wu Bharath Ramsundar Evan N. Feinberg Joseph Gomes C. Geniesse Aneesh S. Pappu K. Leswing Vijay S. Pande OOD 175 1,778 0 02 Mar 2017