Alternatives and similar repositories for ODCRN:

Users that are interested in ODCRN are comparing it to the libraries listed below

• ZhuangDingyi / STZINB
  Source code of implementing spatial-temporal zero-inflated negative binomial network for trip demand prediction
  ☆25Updated 3 years ago
• deepkashiwa20 / DL-Traff-Grid
  [CIKM 2021 Resource Paper] DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction (Grid Part)
  ☆54Updated 2 years ago
• zouguojian / Travel-time-prediction
  When Will We Arrive? A Novel Multi-Task Spatio-Temporal Attention Network Based on Individual Preference for Estimating Travel Time
  ☆37Updated last year
• underdoc-wang / MPGCN
  [ICDE'20] Predicting Origin-Destination Flow via Multi-Perspective Graph Convolutional Network (Pytorch Replication)
  ☆20Updated 3 years ago
• HCPLab-SYSU / HIAM
  ☆15Updated last year
• kejintao / ST-ED-RMGC
  Code for the paper "Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convol…
  ☆15Updated 4 years ago
• Essaim / CGCDemandPrediction
  ☆49Updated 2 years ago
• underdoc-wang / ST-MGCN
  [AAAI'19] Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting (Pytorch Replication)
  ☆90Updated 3 years ago
• JinleiZhangBJTU / Conv-GCN
  Code for Multi-graph convolutional network for short-term passenger flow forecasting in urban rail transit
  ☆30Updated 4 years ago
• Evens1sen / Deep-NYC-Taxi-Bike
  The repo for the ITSC 2022 paper "Forecasting Regional Multimodal Transportation Demand with Graph Neural Networks: An Open Dataset"
  ☆22Updated last year
• wumingyao / MADGCN
  ☆10Updated 3 years ago
• panzheyi / MF-STN
  The codes and data of paper "Matrix Factorization for Spatio-Temporal Neural Networks with Applications to Urban Flow Prediction"
  ☆26Updated last year
• wanhuaiyu / ASTGNN
  ☆16Updated 2 years ago
• trainingl / STG4Traffic
  Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.
  ☆66Updated 8 months ago
• goaheand / AdapGL-pytorch
  ☆64Updated 3 years ago
• WoodSugar / GSTNet
  ☆14Updated 3 years ago
• wcc961129 / transdim
  Machine learning for transportation data imputation and prediction.
  ☆40Updated 5 years ago
• mingqian000 / TrGNN
  Traffic Flow Prediction with Vehicle Trajectories
  ☆68Updated 4 years ago
• xlwang233 / STSeq2Seq
  PyTorch implementaion of Spatial-Temporal Sequence to Sequence model.
  ☆15Updated 3 years ago
• MiaoHaoSunny / MT-ASTN
  Code for Paper "Multi-task Adversarial Spatial-Temporal Networks for Crowd Flow Prediction"
  ☆20Updated 2 years ago
• NickHan-cs / Spatio-Temporal-Data-Mining-Survey
  Paper & Code & Dataset Collection of Spatial-Temporal Data Mining.
  ☆121Updated 9 months ago
• R0oup1iao / Traffic-Transformer
  This is a Pytorch implementation of Traffic Transformer. Now the corresponding paper is available online at
  ☆25Updated 2 years ago
• tsinghua-fib-lab / OD_benckmark
  The benchmark related to the survey: An Interdisciplinary Survey on Origin-destination Flows Modeling: Theory and Techniques
  ☆28Updated last year
• underdoc-wang / EAST-Net
  [AAAI'22] Event-Aware Multimodal Mobility Nowcasting
  ☆14Updated 2 years ago
• KL4805 / CrossTReS
  Repo for CrossTReS: Cross-city Transfer Learning for Traffic Prediction via Source Region Selection
  ☆17Updated 2 years ago
• liangzhehan / DMSTGCN
  ☆72Updated 2 years ago
• j1o2h3n / DDSTGCN
  Dual Dynamic Spatial-Temporal Graph Convolution Network for Traffic Prediction
  ☆44Updated last year
• RobinLu1209 / STAG-GCN
  Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting
  ☆69Updated 4 years ago
• HCPLab-SYSU / PVCGN
  code for "Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction"
  ☆54Updated 2 years ago
• yoshall / DeepLGR
  Pytorch Implementation of DeepLGR, ECML-PKDD-20
  ☆10Updated 4 years ago