Enhancing Homophily in Heterogeneous Graph Contrastive Learning via Connection Strength and Multi-view Self-Expression.

Haosen Wang|Chenglong Shi|Can Xu|Surong Yan|Rong Xie|Pan Tang


Anthology ID:DBLP:conf/sigir/WangSXYXT25
Volume:Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025
Year:2025
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:709-718
URL:https://doi.org/10.1145/3726302.3729968
DOI:https://doi.org/10.1145/3726302.3729968
DBLP:conf/sigir/WangSXYXT25
BibTeX:
@inproceedings{wang-2025-enhancing, author = {Haosen Wang and Chenglong Shi and Can Xu and Surong Yan and Rong Xie and Pan Tang}, editor = {Nicola Ferro and Maria Maistro and Gabriella Pasi and Omar Alonso and Andrew Trotman and Suzan Verberne}, title = {{Enhancing Homophily in Heterogeneous Graph Contrastive Learning via Connection Strength and Multi-view Self-Expression}}, booktitle = {{Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025}}, pages = {709--718}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3726302.3729968}, doi = {https://doi.org/10.1145/3726302.3729968} }