A Two-Stage Anomaly-Aware Framework for Robust Traffic Forecasting with Memory-Guided GNNs.

Pei-Xuan Li|Cheng-Ru Chou|Jhe-Wei Tsai|Hsun-Ping Hsieh


Anthology ID:DBLP:conf/wsdm/LiCTH26
Volume:Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM 2026, Boise, ID, USA, February 22-26, 2026
Year:2026
Venue:Web Search and Data Mining (WSDM)
Publisher:ACM
Pages:1180-1184
URL:https://doi.org/10.1145/3773966.3779379
DOI:https://doi.org/10.1145/3773966.3779379
DBLP:conf/wsdm/LiCTH26
BibTeX:
@inproceedings{li-2026-twostage, author = {Pei-Xuan Li and Cheng-Ru Chou and Jhe-Wei Tsai and Hsun-Ping Hsieh}, title = {{A Two-Stage Anomaly-Aware Framework for Robust Traffic Forecasting with Memory-Guided GNNs}}, booktitle = {{Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM 2026, Boise, ID, USA, February 22-26, 2026}}, pages = {1180--1184}, publisher = {ACM}, year = {2026}, url = {https://doi.org/10.1145/3773966.3779379}, doi = {https://doi.org/10.1145/3773966.3779379} }