GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction.
Amit Roy|Juan Shu|Jia Li|Carl Yang|Olivier Elshocht|Jeroen Smeets|Pan Li
| Anthology ID: | DBLP:conf/wsdm/RoySLYES024 |
|---|---|
| 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: | 576-585 |
| URL: | https://doi.org/10.1145/3616855.3635767 |
| DOI: | https://doi.org/10.1145/3616855.3635767 |
| DBLP: | conf/wsdm/RoySLYES024 |
| BibTeX: |
@inproceedings{roy-2024-gadnr,
author = {Amit Roy and
Juan Shu and
Jia Li and
Carl Yang and
Olivier Elshocht and
Jeroen Smeets and
Pan 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 = {{GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction}},
booktitle = {{Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024}},
pages = {576--585},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3616855.3635767},
doi = {https://doi.org/10.1145/3616855.3635767}
}