Disentangled Graph Contrastive Learning With Independence Promotion

Author:

Li Haoyang1ORCID,Zhang Ziwei1ORCID,Wang Xin1ORCID,Zhu Wenwu1ORCID

Affiliation:

1. Department of Computer Science and Technology, Tsinghua University, Beijing, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. LLM4DyG: Can Large Language Models Solve Spatial-Temporal Problems on Dynamic Graphs?;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

2. Distribution-Aware Contrastive Learning for Robust Medical Image Segmentation;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

3. Graph contrastive learning with min-max mutual information;Information Sciences;2024-04

4. Multi-level Disentangled Contrastive Learning on Heterogeneous Graphs;Proceedings of the 2024 16th International Conference on Machine Learning and Computing;2024-02-02

5. Construction of Soft Computing Anomaly Detection Model Based on Independence Criteria and Maximum Entropy Clustering Algorithm;IEEE Access;2024

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