Revisiting Graph-Level Anomaly Detection: From Partially to Fully Unsupervised Learning.

@inproceedings{yang-2026-revisiting, author = {Zhenyu Yang and Ge Zhang and Shan Xue and Xiaoxiao Ma and Jian Yang and Hao Peng and Amin Beheshti and Jia Wu}, editor = {Hakim Hacid and Yoelle Maarek and Francesco Bonchi and Ido Guy and Emine Yilmaz}, title = {{Revisiting Graph-Level Anomaly Detection: From Partially to Fully Unsupervised Learning}}, 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 = {901--912}, publisher = {ACM}, year = {2026}, url = {https://doi.org/10.1145/3774904.3792307}, doi = {https://doi.org/10.1145/3774904.3792307} }