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GitHub / cruiseresearchgroup / forecasting-on-new-roads
Official repo for the following paper: Traffic Forecasting on New Roads Unseen in the Training Data Using Spatial Contrastive Pre-Training (SCPT) (ECML PKDD DAMI '23)
Stars: 1
Forks: 0
Open Issues: 0
License: gpl-2.0
Language: Python
Repo Size: 5.47 MB
Dependencies: pending
Created: 10 months ago
Updated: 7 months ago
Last pushed: 8 months ago
Last synced: 4 months ago
Commit Stats
Commits: 27
Authors: 1
Mean commits per author: 27.0
Development Distribution Score: 0.0
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/cruiseresearchgroup/forecasting-on-new-roads
Topics: cnn, cnn-pytorch, contrastive-learning, forecasting, forecasting-models, forecasting-time-series, gcn, neural-network, pytorch, pytorch-cnn, simclr, time-series, timeseries, traffic, traffic-flow, traffic-flow-forecasting, traffic-flow-prediction, traffic-forecasting, traffic-prediction