Automated Self-Supervised Learning for Graphs

10 June 2021

Xiaorui Liu

Papers citing "Automated Self-Supervised Learning for Graphs"

24 / 24 papers shown

Title
Rethinking Graph Contrastive Learning through Relative Similarity Preservation Zhiyuan Ning Pengfei Wang Ziyue Qiao Pengyang Wang Yuanchun Zhou 128 0 0 08 May 2025
Leveraging Joint Predictive Embedding and Bayesian Inference in Graph Self Supervised Learning Srinitish Srinivasan Omkumar CU SSL BDL 44 0 0 02 Feb 2025
Graph Edge Representation via Tensor Product Graph Convolutional Representation Bo Jiang Sheng Ge Ziyan Zhang Beibei Wang Jin Tang Bin Luo GNN 35 0 0 21 Jun 2024
Heterogeneous Contrastive Learning for Foundation Models and Beyond Lecheng Zheng Baoyu Jing Zihao Li Hanghang Tong Jingrui He VLM 30 19 0 30 Mar 2024
Automated Contrastive Learning Strategy Search for Time Series Baoyu Jing Yansen Wang Guoxin Sui Jing Hong Jingrui He Yuqing Yang Dongsheng Li Kan Ren AI4TS 32 6 0 19 Mar 2024
Graph-level Representation Learning with Joint-Embedding Predictive Architectures Geri Skenderi Hang Li Jiliang Tang Marco Cristani AI4TS GNN 54 3 0 27 Sep 2023
Rethinking Sensors Modeling: Hierarchical Information Enhanced Traffic Forecasting Qian Ma Zijian Zhang Xiangyu Zhao Haoliang Li Hongwei Zhao Yiqi Wang Zitao Liu Wanyu Wang 10 12 0 20 Sep 2023
HomoGCL: Rethinking Homophily in Graph Contrastive Learning Wenzhong Li Changdong Wang Hui Xiong Jian-Huang Lai 24 22 0 16 Jun 2023
Multi-View Graph Representation Learning Beyond Homophily Bei Lin You Li Ning Gui Zhuopeng Xu Zhiwu Yu SSL 20 6 0 15 Apr 2023
LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation Xuheng Cai Chao Huang Lianghao Xia Xubin Ren 13 198 0 16 Feb 2023
Cluster-guided Contrastive Graph Clustering Network Xihong Yang Yue Liu Sihang Zhou Siwei Wang Wenxuan Tu Qun Zheng Xinwang Liu Liming Fang En Zhu 40 91 0 03 Jan 2023
Hard Sample Aware Network for Contrastive Deep Graph Clustering Yue Liu Xihong Yang Sihang Zhou Xinwang Liu Zhen Wang K. Liang Wenxuan Tu Liangjun Li Jingcan Duan Cancan Chen 29 101 0 16 Dec 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 42 5 0 05 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 16 13 0 28 Sep 2022
Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning Haoran Yang Hongxu Chen Sixiao Zhang Xiangguo Sun Qian Li Xiangyu Zhao Guandong Xu SSL 42 24 0 01 Jul 2022
Condensing Graphs via One-Step Gradient Matching Wei Jin Xianfeng Tang Haoming Jiang Zheng Li Danqing Zhang Jiliang Tang Bin Ying DD 23 98 0 15 Jun 2022
Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective Wei Jin Xiaorui Liu Yao Ma Charu C. Aggarwal Jiliang Tang 24 41 0 15 Jun 2022
ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions Zheng Li Yue Zhao Xiyang Hu N. Botta C. Ionescu George H. Chen 27 279 0 02 Jan 2022
Graph Trend Filtering Networks for Recommendations Wenqi Fan Xiaorui Liu Wei Jin Xiangyu Zhao Jiliang Tang Qing Li 66 101 0 12 Aug 2021
Elastic Graph Neural Networks Xiaorui Liu W. Jin Yao Ma Yaxin Li Hua Liu Yiqi Wang Ming Yan Jiliang Tang 90 107 0 05 Jul 2021
AutoLoss: Automated Loss Function Search in Recommendations Xiangyu Zhao Haochen Liu Wenqi Fan Hui Liu Jiliang Tang Chong Wang 25 60 0 12 Jun 2021
Graph Contrastive Learning Automated Yuning You Tianlong Chen Yang Shen Zhangyang Wang 22 447 0 10 Jun 2021
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 169 1,078 0 13 Feb 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 284 11,681 0 09 Mar 2017