Implementation of the paper "SCANNER+: Neighborhood-based self-enrichment approach for traffic speed prediction"

10.60507/FK2/DRYP80 Gounoue, Steve Steve Gounoue https://orcid.org/0009-0003-4580-3173 Data Science and Intelligent Systems Group (DSIS), University of Bonn Implementation of the paper "SCANNER+: Neighborhood-based self-enrichment approach for traffic speed prediction" bonndata 2026 Computer and Information Science Engineering Gounoue, Steve Steve Gounoue Data Science and Intelligent Systems Group (DSIS), University of Bonn 2026-01-06 2026-01-08 2026-01-26 10.1145/3589132.3625653 10.60507/FK2/DRYP80/A33WIR 10.60507/FK2/DRYP80/T6S3OE 10.60507/FK2/DRYP80/6OIJN2 10.60507/FK2/DRYP80/LPTNMA 10.60507/FK2/DRYP80/WOXBUF 10.60507/FK2/DRYP80/TANYCH 10.60507/FK2/DRYP80/RACTZI 10.60507/FK2/DRYP80/RYE7N9 10.60507/FK2/DRYP80/BL8SYK 10.60507/FK2/DRYP80/S6S5LN 10.60507/FK2/DRYP80/KAHIZK 10.60507/FK2/DRYP80/9Y3ASY 10.60507/FK2/DRYP80/OIP0J0 4081 15807 4989 417 207 2784 8522 3325 10113 1063 3444 2130 4979 2900 9761 4213 324 3706 366 1063 9823 3443 11955 4196 text/x-python text/x-python text/x-python text/x-python text/plain text/x-python text/x-python text/x-python text/x-python text/plain; charset=US-ASCII text/markdown text/x-python text/x-python text/x-python text/x-python text/markdown text/plain text/x-python text/x-python text/plain; charset=US-ASCII text/x-python text/plain text/x-python text/x-python 2.0 The MIT License In this repository, you can find the code to train and evaluate SCANNER+, a novel neighborhood-based self-enrichment approach for traffic speed prediction. SCANNER+ learns effective node representations in dynamic road traffic settings. This work extends SCANNER, which utilizes correlation-based pattern detection and a self-enrichment mechanism.