PhoGAD: Graph-based Anomaly Behavior Detection with Persistent Homology Optimization.

Ziqi Yuan|Haoyi Zhou|Tianyu Chen|Jianxin Li


Anthology ID:DBLP:conf/wsdm/YuanZC024
Volume:Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024
Year:2024
Venue:Web Search and Data Mining (WSDM)
Publisher:ACM
Pages:920-929
URL:https://doi.org/10.1145/3616855.3635783
DOI:https://doi.org/10.1145/3616855.3635783
DBLP:conf/wsdm/YuanZC024
BibTeX:
@inproceedings{yuan-2024-phogad, author = {Ziqi Yuan and Haoyi Zhou and Tianyu Chen and Jianxin Li}, editor = {Luz Angelica Caudillo-Mata and Silvio Lattanzi and Andr\'{e}s Mu\~{n}oz Medina and Leman Akoglu and Aristides Gionis and Sergei Vassilvitskii}, title = {{PhoGAD: Graph-based Anomaly Behavior Detection with Persistent Homology Optimization}}, booktitle = {{Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024}}, pages = {920--929}, publisher = {ACM}, year = {2024}, url = {https://doi.org/10.1145/3616855.3635783}, doi = {https://doi.org/10.1145/3616855.3635783} }