Alternatives and similar repositories for STDN

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

• YushengZhao / DyHSL
  [ICDE 2023] Dynamic hypergraph structure learning for traffic flow forecasting
  ☆18Updated 2 years ago
• guoshnBJTU / SSTBAN
  ☆26Updated 2 years ago
• SEU-WENJIA / ST-SepNet
  KDD'2025. This project aims to explore the application of hypergraph spatio-temporal learning and Large Language Models (LLMs) in traffi…
  ☆15Updated 2 months ago
• wengwenchao123 / PDG2Seq
  [Neural Networks] PDG2Seq: Periodic Dynamic Graph to Sequence model for Traffic Flow Prediction
  ☆17Updated 2 weeks ago
• wengwenchao123 / RGDAN
  [Neural Networks] RGDAN: A random graph diffusion attention network for traffic prediction
  ☆40Updated 2 weeks ago
• trainingl / STG4Traffic
  Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.
  ☆70Updated 2 months ago
• LiuAoyu1998 / STAMT
  An efficient spatial-temporal transformer with temporal aggregation and spatial memory for traffic forecasting
  ☆27Updated 4 months ago
• LiuAoyu1998 / STIDGCN
  Spatial–Temporal Dynamic Graph Convolutional Network With Interactive Learning for Traffic Forecasting
  ☆72Updated 4 months ago
• ibizatomorrow / DCST
  [IJCAI'24] Official code for our paper "Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns …
  ☆14Updated 2 months ago
• zhangjunfeng1234 / ST-MLP
  ☆10Updated 8 months ago
• Vincent665 / MGCN-for-Traffic-Prediction
  The repo is the official implementation for the paper: [MGCN: Mamba-Integrated Spatiotemporal Graph Convolutional Network for Long-Term T…
  ☆17Updated last month
• deepkashiwa20 / MegaCRN
  [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"
  ☆129Updated last year
• SYLan2019 / DSTAGNN
  DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting, which is accepted at ICML2022.
  ☆178Updated 3 years ago
• razvanc92 / ST-WA
  ☆19Updated 3 years ago
• usail-hkust / BigST
  ☆23Updated 11 months ago
• superca729 / ST-MAMBASYNC
  ☆10Updated 6 months ago
• Azusa-Yuan / fc-gaga-torch
  ☆10Updated 2 years ago
• Kongwy5689 / STPGNN
  ☆25Updated last year
• dhxdla / AdpSTGCN
  The code of AdpSTGCN: Adaptive Spatial Temporal Graph Convolutional Network for Traffic Forecasting
  ☆14Updated last year
• LMissher / STWave
  [ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks
  ☆99Updated 6 months ago
• Echo-Ji / ST-SSL
  ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction
  ☆187Updated 9 months ago
• liuxu77 / LargeST
  LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting (NeurIPS 2023)
  ☆229Updated last year
• ChenxiLiu-HNU / ST-LLM
  Official implementation of the paper "Spatial-Temporal Large Language Model for Traffic Prediction"
  ☆120Updated 2 months ago
• XDZhelheim / Torch-MTS
  My personal PyTorch framework for multivariate time series forecasting.
  ☆97Updated 6 months ago
• LMissher / PatchSTG
  [SIGKDD'2025] Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective
  ☆56Updated 2 months ago
• ChenMao20374042 / TASSGN
  source codes of TASSGN
  ☆11Updated last year
• liuxu77 / STGCL
  When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting? (SIGSPATIAL 2022)
  ☆45Updated 2 years ago
• SmallNana / STSGCN_Pytorch
  ☆77Updated last year
• XDZhelheim / HimNet
  [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".
  ☆62Updated last year
• goaheand / AdapGL-pytorch
  ☆66Updated 3 years ago