GraphCL: Contrastive Self-Supervised Learning of Graph Representations

15 July 2020

Papers citing "GraphCL: Contrastive Self-Supervised Learning of Graph Representations"

9 / 9 papers shown

Title
Invariant Graph Learning Meets Information Bottleneck for Out-of-Distribution Generalization Wenyu Mao Jiancan Wu Haoyang Liu Yongduo Sui Xiang Wang OOD 37 2 0 03 Aug 2024
Towards Deviation-Robust Agent Navigation via Perturbation-Aware Contrastive Learning Bingqian Lin Yanxin Long Yi Zhu Fengda Zhu Xiaodan Liang QiXiang Ye Liang Lin 27 5 0 09 Mar 2024
Heterogeneous Graph Contrastive Learning with Meta-path Contexts and Adaptively Weighted Negative Samples Jianxiang Yu Qingqing Ge Xiang Li Aoying Zhou 22 7 0 28 Dec 2022
Spectral Feature Augmentation for Graph Contrastive Learning and Beyond Yifei Zhang Hao Zhu Zixing Song Piotr Koniusz Irwin King 14 87 0 02 Dec 2022
COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning Yifei Zhang Hao Zhu Zixing Song Piotr Koniusz Iriwn King 25 89 0 09 Jun 2022
Unified GCNs: Towards Connecting GCNs with CNNs Ziyan Zhang Bo Jiang Bin Luo GNN 23 1 0 26 Apr 2022
TCGL: Temporal Contrastive Graph for Self-supervised Video Representation Learning Yang Liu Keze Wang Lingbo Liu Hao Lan Liang Lin SSL AI4TS 40 113 0 07 Dec 2021
Graph Communal Contrastive Learning Bolian Li Baoyu Jing Hanghang Tong 14 57 0 28 Oct 2021
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 231 3,202 0 24 Nov 2016