Pinned Repositories
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's Repositories
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