Alternatives and similar repositories for STTNS:

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

• lonicera-yx / MGT
  ☆38Updated 3 years ago
• Echo-Ji / ST-SSL
  ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction
  ☆173Updated 3 months ago
• BUAABIGSCity / PDFormer
  [AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.
  ☆230Updated last year
• VincLee8188 / GMAN-PyTorch
  Implementation of Graph Muti-Attention Network with PyTorch
  ☆156Updated last year
• xumingxingsjtu / STTN
  The official code for "Spatial temporal transformer networks for traffic flow forecasting"
  ☆95Updated 3 years ago
• LeronQ / STGCN-Pytorch
  Paper:Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting . Implementation of spatio-temporal…
  ☆140Updated 4 years ago
• LeronQ / GCN_predict-Pytorch
  Traffic flow predict. Implementation of graph convolutional network with PyTorch
  ☆109Updated 4 years ago
• SmallNana / STSGCN_Pytorch
  ☆76Updated last year
• ChenxiLiu-HNU / ST-LLM
  Official implementation of the paper "Spatial-Temporal Large Language Model for Traffic Prediction"
  ☆76Updated last month
• guoshnBJTU / ASTGNN
  This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/93460…
  ☆212Updated 3 years ago
• wanhuaiyu / STSGCN
  AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting
  ☆49Updated 2 years ago
• wengwenchao123 / RGDAN
  [Neural Networks] RGDAN: A random graph diffusion attention network for traffic prediction
  ☆32Updated 3 months ago
• trainingl / STG4Traffic
  Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.
  ☆66Updated 8 months ago
• LiuZH-19 / Ada-STNet
  ☆43Updated 2 years ago
• R0oup1iao / Traffic-Transformer
  This is a Pytorch implementation of Traffic Transformer. Now the corresponding paper is available online at
  ☆25Updated 2 years ago
• j1o2h3n / DDSTGCN
  Dual Dynamic Spatial-Temporal Graph Convolution Network for Traffic Prediction
  ☆44Updated last year
• LMissher / STGNN
  The pytorch implementation of Traffic Flow Prediction via Spatial Temporal Graph Neural Network
  ☆130Updated 2 weeks ago
• SYLan2019 / DSTAGNN
  DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting, which is accepted at ICML2022.
  ☆157Updated 2 years ago
• LiuAoyu1998 / STIDGCN
  Spatial–Temporal Dynamic Graph Convolutional Network With Interactive Learning for Traffic Forecasting
  ☆57Updated 5 months ago
• goaheand / AdapGL-pytorch
  ☆64Updated 3 years ago
• MengzhangLI / STFGNN
  Code of STFGNN@AAAI-2021 (Spatial-Temporal/ Traffic data forecasting)
  ☆219Updated 4 years ago
• wubin5 / STTN
  paper : <Spatial-Temporal Transformer Networks for Traffic Flow Forecasting>
  ☆164Updated 3 years ago
• guokan987 / HGCN
  The code of AAAI2021 paper of HGCN for Traffic Forecasting
  ☆93Updated 2 years ago
• NickHan-cs / Spatio-Temporal-Data-Mining-Survey
  Paper & Code & Dataset Collection of Spatial-Temporal Data Mining.
  ☆121Updated 9 months ago
• deepkashiwa20 / MegaCRN
  [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"
  ☆112Updated last year
• underdoc-wang / ST-MGCN
  [AAAI'19] Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting (Pytorch Replication)
  ☆90Updated 3 years ago
• DrownFish19 / CorrSTN
  A correlation information-based spatiotemporal network for traffic flow forecasting
  ☆28Updated last year
• martinwhl / T-GCN-PyTorch
  A PyTorch implementation of T-GCN
  ☆62Updated last year
• liangzhehan / DMSTGCN
  ☆72Updated 2 years ago
• HCPLab-SYSU / PVCGN
  code for "Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction"
  ☆54Updated 2 years ago