deepkashiwa20/Urban_Concept_Drift

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Created 11 months ago
Updated 10 months ago

deepkashiwa20/Urban_Concept_Drift

deepkashiwa20

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[CIKM 2023] MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation

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)

ODCRN

[ECMLPKDD21] Countrywide Origin-Destination Matrix Prediction and Its Application for COVID-19

Jupyter Notebook

MemeSTN

WWW23-Learning Social Meta-knowledge for Nowcasting Human Mobility in Disaster

MepoGNN

[ECMLPKDD22] MepoGNN: Metapopulation Epidemic Forecasting with Graph Neural Networks

DeepCrowd

[TKDE 2021 Paper] DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction

GCRN

An implementation of GCRN backbone.

SimpleVLUC

CapitalTraffic

Working projects for forecasting traffic flow at accidents and incidents

Jupyter Notebook

DeepUrbanEvent

[ACM TIST 2021] [KDD 2019 Paper Applied Data Science Track] DeepUrbanEvent: A System for Predicting Citywide Crowd Dynamics at Big Events

TwitterMobility

Jupyter Notebook