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DL-Traff-Graph
[CIKM 2021 Resource Paper] DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction (Graph Part)MegaCRN
[AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"DL-Traff-Grid
[CIKM 2021 Resource Paper] DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction (Grid Part)Urban_Concept_Drift
[CIKM 2023] MemDA: Forecasting Urban Time Series with Memory-based Drift AdaptationMemeSTN
WWW23-Learning Social Meta-knowledge for Nowcasting Human Mobility in DisasterMepoGNN
[ECMLPKDD22] MepoGNN: Metapopulation Epidemic Forecasting with Graph Neural NetworksDeepCrowd
[TKDE 2021 Paper] DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow PredictionGCRN
An implementation of GCRN backbone.SimpleVLUC
CapitalTraffic
Working projects for forecasting traffic flow at accidents and incidentsDeepUrbanEvent
[ACM TIST 2021] [KDD 2019 Paper Applied Data Science Track] DeepUrbanEvent: A System for Predicting Citywide Crowd Dynamics at Big EventsTwitterMobility
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