deepkashiwa20

CapitalTraffic

Working projects for forecasting traffic flow at accidents and incidents

DeepCrowd

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

DL-Traff-Graph

[CIKM 2021 Resource Paper] DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction (Graph Part)

DL-Traff-Grid

[CIKM 2021 Resource Paper] DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction (Grid Part)

GCRN

An implementation of GCRN backbone.

MegaCRN

[AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"

MemeSTN

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

MepoGNN

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

ODCRN

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

Urban_Concept_Drift

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

deepkashiwa20/MegaCRN

[AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"

deepkashiwa20/ODCRN

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

deepkashiwa20/MepoGNN

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

deepkashiwa20/Urban_Concept_Drift

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

deepkashiwa20/MemeSTN

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

deepkashiwa20/DeepCrowd

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

deepkashiwa20/GCRN

An implementation of GCRN backbone.

deepkashiwa20/SimpleVLUC

deepkashiwa20/STSSL_MTS

An implementation of STSSL backbone on METRLA and PEMSBAY datasets.

deepkashiwa20/SimpleSTID

deepkashiwa20/Awesome-DynamicGraphLearning

Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).

deepkashiwa20/BasicTS

An Open Source Standard Time Series Forecasting Benchmark.

deepkashiwa20/CL-Traff

deepkashiwa20/D2STGNN

Code for our VLDB'22 paper Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting.

deepkashiwa20/DeepMove

deepkashiwa20/DTP-Net

deepkashiwa20/EpiFNP

Official repo to paper

deepkashiwa20/FuxiTS

deepkashiwa20/MemoNet

[CVPR2022] Remember Intentions: Retrospective-Memory-based Trajectory Prediction

deepkashiwa20/MvTS

Multivariate Time Series Repository

deepkashiwa20/OurSTGCL

deepkashiwa20/poster_template

some academic posters as references. May we have in-person poster session soon!

deepkashiwa20/ST-SSL

ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction

deepkashiwa20/STAEformer

Spatio-Temporal Adaptive Embedding Transformer

deepkashiwa20/STC-Dropout

Easy Begun is Half Done: Spatial-Temporal Graph Modeling with ST-Curriculum Dropout

deepkashiwa20/STEP

Code for our SIGKDD'22 paper Pre-training-Enhanced Spatial-Temporal Graph Neural Network For Multivariate Time Series Forecasting.

deepkashiwa20/STID

Code for our CIKM'22 paper Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting.

deepkashiwa20/Time-Series-Library

A Library for Advanced Deep Time Series Models.

deepkashiwa20/time-series-papers

An up-to-date list of time-series related papers in AI venues.

deepkashiwa20/TwitterMobility1

Another Repository for developing TwitterMobility