MUSE: Multi-view Contrastive Learning for Heterophilic Graphs via Information Reconstruction.

Mengyi Yuan|Minjie Chen|Xiang Li


Anthology ID:DBLP:conf/cikm/YuanCL23
Volume:Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023
Year:2023
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:3094-3103
URL:https://doi.org/10.1145/3583780.3614985
DOI:https://doi.org/10.1145/3583780.3614985
DBLP:conf/cikm/YuanCL23
BibTeX:
@inproceedings{yuan-2023-muse, author = {Mengyi Yuan and Minjie Chen and Xiang Li}, editor = {Ingo Frommholz and Frank Hopfgartner and Mark Lee and Michael P. Oakes and Mounia Lalmas-Roelleke and Min Zhang and Rodrygo L. T. Santos}, title = {{MUSE: Multi-view Contrastive Learning for Heterophilic Graphs via Information Reconstruction}}, booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}}, pages = {3094--3103}, publisher = {ACM}, year = {2023}, url = {https://doi.org/10.1145/3583780.3614985}, doi = {https://doi.org/10.1145/3583780.3614985} }