Alternatives and similar repositories for ST-ResNet-Pytorch

Users that are interested in ST-ResNet-Pytorch are comparing it to the libraries listed below

• liulingbo918 / ATFM
  Attentive Traffic Flow Machines
  ☆58Updated 4 years ago
• TolicWang / DeepST
  Reconstruction of DeepST
  ☆103Updated 5 years ago
• Essaim / CGCDemandPrediction
  ☆49Updated 2 years ago
• MengzhangLI / STFGNN
  Code of STFGNN@AAAI-2021 (Spatial-Temporal/ Traffic data forecasting)
  ☆220Updated 4 years ago
• Coolgiserz / Awesome-Traffic-Prediction
  Useful resources for traffic prediction, including popular papers, datasets, tutorials, toolkits, and other helpful repositories.
  ☆139Updated 4 months ago
• underdoc-wang / ST-MGCN
  [AAAI'19] Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting (Pytorch Replication)
  ☆90Updated 3 years ago
• guokan987 / HGCN
  The code of AAAI2021 paper of HGCN for Traffic Forecasting
  ☆93Updated 2 years ago
• wanhuaiyu / STSGCN
  AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting
  ☆50Updated 2 years ago
• wdzhong / ASTGCN-PyTorch
  ☆48Updated 5 years ago
• RobinLu1209 / STAG-GCN
  Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting
  ☆70Updated 4 years ago
• wcc961129 / transdim
  Machine learning for transportation data imputation and prediction.
  ☆40Updated 5 years ago
• guokan987 / DGCN
  The pytorch code of DGCN(TITS)
  ☆54Updated 2 years ago
• HCPLab-SYSU / PVCGN
  code for "Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction"
  ☆55Updated 2 years ago
• LeiBAI / STG2Seq
  Implementation of STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting
  ☆32Updated 4 years ago
• panzheyi / ST-MetaNet
  The codes and data of paper "Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning"
  ☆202Updated last year
• zzyy0929 / AAAI2020-RiskOracle
  AAAIA2020-Accident Forecasting Experiments Setups
  ☆41Updated 4 years ago
• FIBLAB / DeepSTN
  [AAAI 2019] DeepSTN+: Context-aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis
  ☆66Updated 5 years ago
• ivechan / PVCGN
  code for "Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction"
  ☆42Updated 4 years ago
• zhiyongc / Seattle-Loop-Data
  ☆91Updated 2 years ago
• Aguin / STGCN-PyTorch
  PyTorch implementation of STGCN
  ☆73Updated 5 years ago
• Echo-Ji / ST-SSL
  ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction
  ☆177Updated 5 months ago
• liangzhehan / DMSTGCN
  ☆73Updated 2 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
• wubin5 / STTN
  paper : <Spatial-Temporal Transformer Networks for Traffic Flow Forecasting>
  ☆165Updated 4 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
• mingqian000 / TrGNN
  Traffic Flow Prediction with Vehicle Trajectories
  ☆69Updated 4 years ago
• deepkashiwa20 / MegaCRN
  [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"
  ☆115Updated last year
• MiaoHaoSunny / MT-ASTN
  Code for Paper "Multi-task Adversarial Spatial-Temporal Networks for Crowd Flow Prediction"
  ☆20Updated 2 years ago
• tsinghua-fib-lab / Traffic-Benchmark
  Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution, TKDD 2023
  ☆296Updated 3 years ago
• xiepeng21 / research_spatio-temporal-data-mining
  A collection of research on spatio-temporal data mining
  ☆150Updated 3 months ago