Cross-Type Semantic Alignment for Multi-Type Anomaly Detection in Heterogeneous Graphs.

Di Jin|Xiao Huang|Xiaobao Wang|Fengyu Yan|Luzhi Wang|Hongxiang Liang


Anthology ID:DBLP:conf/www/JinHWYWL26
Volume:Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026.
Year:2026
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:1015-1025
URL:https://doi.org/10.1145/3774904.3792369
DOI:https://doi.org/10.1145/3774904.3792369
DBLP:conf/www/JinHWYWL26
BibTeX:
@inproceedings{jin-2026-crosstype, author = {Di Jin and Xiao Huang and Xiaobao Wang and Fengyu Yan and Luzhi Wang and Hongxiang Liang}, editor = {Hakim Hacid and Yoelle Maarek and Francesco Bonchi and Ido Guy and Emine Yilmaz}, title = {{Cross-Type Semantic Alignment for Multi-Type Anomaly Detection in Heterogeneous Graphs}}, booktitle = {{Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026}}, pages = {1015--1025}, publisher = {ACM}, year = {2026}, url = {https://doi.org/10.1145/3774904.3792369}, doi = {https://doi.org/10.1145/3774904.3792369} }