A Masked AutoEncoder with Strong-Weak Mutual Information for Anomaly Detection in Dynamic Incomplete Graphs.

Junquan Gu|Hang Yu|Xiangfeng Luo


Anthology ID:DBLP:conf/www/GuYL25
Volume:Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025
Year:2025
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:986-990
URL:https://doi.org/10.1145/3701716.3715587
DOI:https://doi.org/10.1145/3701716.3715587
DBLP:conf/www/GuYL25
BibTeX:
@inproceedings{gu-2025-masked, author = {Junquan Gu and Hang Yu and Xiangfeng Luo}, editor = {Guodong Long and Michale Blumestein and Yi Chang and Liane Lewin-Eytan and Zi Huang and Elad Yom-Tov}, title = {{A Masked AutoEncoder with Strong-Weak Mutual Information for Anomaly Detection in Dynamic Incomplete Graphs}}, booktitle = {{Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025}}, pages = {986--990}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3701716.3715587}, doi = {https://doi.org/10.1145/3701716.3715587} }