Multi-level Disentangled Contrastive Learning on Heterogeneous Graphs-Reference-Cited by-同舟云学术

Multi-level Disentangled Contrastive Learning on Heterogeneous Graphs

Published:2024-02-02 Issue: Volume:34 Page:628-634
ISSN:
Container-title:Proceedings of the 2024 16th International Conference on Machine Learning and Computing
language:
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Author:

Lin Tong¹^ORCID,Zhou Cangqi²^ORCID,Li Qianmu¹^ORCID,Hu Dianming³^ORCID

Affiliation:

1. School of Computer Science and Technology, Nanjing University of Science and Technology, China

2. School of Computer Science and Engineering, Nanjing University of Science and Technology, China and SenseDeal Intelligent Technology Co., Ltd., China

3. SenseDeal Intelligent Technology Co., Ltd., China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3651671.3651684

Reference30 articles.

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5. Andrea Dittadi, Frederik Träuble, Francesco Locatello, Manuel Wüthrich, Vaibhav Agrawal, Ole Winther, Stefan Bauer, and Bernhard Schölkopf. 2020. On the transfer of disentangled representations in realistic settings. arXiv preprint arXiv:2010.14407 (2020).