General Semantic Knowledge Infusion for Spatio-Temporal Traffic Forecasting
Researchers propose improving spatio-temporal traffic forecasting by infusing semantic knowledge from Wikidata. By moving beyond physical distance to include the functional context of urban zones, the method uses semantic fingerprints to connect similar areas. While improving models like STGCN, it can cause instability in architectures like DCRNN.