Alternatives and similar repositories for raildelays-public

Users that are interested in raildelays-public are comparing it to the libraries listed below

• SmallNana / STSGCN_Pytorch
  ☆79Updated 2 years ago
• guoshnBJTU / ASTGNN
  This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/93460…
  ☆254Updated 4 years ago
• SYLan2019 / DSTAGNN
  DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting, which is accepted at ICML2022.
  ☆190Updated 3 years ago
• wanhuaiyu / ASTGCN
  Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (ASTGCN) AAAI 2019
  ☆251Updated 6 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 2 years ago
• luanshiyinyang / GNN
  Tutorial about Graph Convolutional Network(GCN)
  ☆105Updated 4 years ago
• underdoc-wang / ST-MGCN
  [AAAI'19] Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting (Pytorch Replication)
  ☆95Updated 4 years ago
• LMissher / STGNN
  The pytorch implementation of Traffic Flow Prediction via Spatial Temporal Graph Neural Network
  ☆160Updated 10 months ago
• jwwthu / DL4Traffic
  This is the repository for the collection of Deep Learning for Traffic Prediction Problems.
  ☆233Updated 2 years ago
• martinwhl / T-GCN-PyTorch
  A PyTorch implementation of T-GCN
  ☆64Updated 2 years ago
• LeiBAI / AGCRN
  Adaptive Graph Convolutional Recurrent Network
  ☆417Updated last year
• wumingyao / MADGCN
  ☆10Updated 4 years ago
• Coolgiserz / Awesome-Traffic-Prediction
  Useful resources for traffic prediction, including popular papers, datasets, tutorials, toolkits, and other helpful repositories.
  ☆151Updated last week
• LiuZH-19 / Ada-STNet
  ☆44Updated 3 years ago
• deepkashiwa20 / ODCRN
  [ECMLPKDD21] Countrywide Origin-Destination Matrix Prediction and Its Application for COVID-19
  ☆29Updated 2 years ago
• Davidham3 / STSGCN
  AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting
  ☆440Updated 5 years ago
• goaheand / AdapGL-pytorch
  ☆67Updated 4 years ago
• SANDAG / PeMS-Datasets
  PeMS Datasets
  ☆44Updated 8 months ago
• xiepeng21 / research_spatio-temporal-data-mining
  A collection of research on spatio-temporal data mining
  ☆157Updated last year
• tsinghua-fib-lab / Traffic-Benchmark
  [TKDD 2023] Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution
  ☆322Updated 4 years ago
• aprbw / traffic_prediction
  Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using hist…
  ☆311Updated 2 years ago
• yule-BUAA / DSTGCN
  codes of Deep Spatio-Temporal Graph Convolutional Network for Traffic Accident Prediction
  ☆77Updated 3 years ago
• MengzhangLI / STFGNN
  Code of STFGNN@AAAI-2021 (Spatial-Temporal/ Traffic data forecasting)
  ☆225Updated 5 years ago
• liangzhehan / CMOD
  ☆24Updated 3 years ago
• water-wbq / 2019-ZJU_SummerResearch
  The task is to restate a thesis and redo the experiment following the instructions in the paper.
  ☆70Updated 4 years ago
• Knowledge-Precipitation-Tribe / Spatio-Temporal-papers
  This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic…
  ☆250Updated 2 years ago
• lixus7 / MTMGNN2
  ☆14Updated last year
• aptx1231 / Traffic-Prediction-Open-Code-Summary
  Summary of open source code for deep learning models in the field of traffic prediction
  ☆276Updated 3 years ago
• qetmes / GCN-LSTM
  ☆35Updated 4 years ago
• HCPLab-SYSU / HIAM
  ☆16Updated 2 years ago