Alternatives and similar repositories for LSTTN

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

• LMissher / STWave
  [ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks
  ☆108Updated 10 months ago
• j1o2h3n / DDSTGCN
  Dual Dynamic Spatial-Temporal Graph Convolution Network for Traffic Prediction
  ☆49Updated 2 years ago
• XDZhelheim / Torch-MTS
  My personal PyTorch framework for multivariate time series forecasting.
  ☆100Updated 2 months ago
• LiuAoyu1998 / STIDGCN
  Spatial–Temporal Dynamic Graph Convolutional Network With Interactive Learning for Traffic Forecasting
  ☆90Updated 8 months ago
• trainingl / AFDGCN
  Code of “Dynamic Graph Convolutional Network with Attention Fusion for Traffic Flow Prediction”.
  ☆22Updated last year
• wengwenchao123 / DDGCRN
  [Pattern Recognition] Decomposition Dynamic Graph Conolutional Recurrent Network for Traffic Forecasting
  ☆93Updated 5 months ago
• Frank-Wang-oss / FCSTGNN
  ☆126Updated 2 years ago
• beginner-sketch / MoSSL
  [IJCAI 2024] This it the official github for IJCAI24 paper "Multi-Modality Spatio-Temporal Forecasting via Self-Supervised Learning"
  ☆16Updated last year
• wudi2001 / STGAGRTN
  This is a PyTorch implementation of STGAGRTN in the Spatial-Temporal Graph Attention Gated Recurrent Transformer Network for Traffic Flow…
  ☆20Updated last year
• XDZhelheim / STAEformer
  [CIKM'23] Official code for our paper "Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting".
  ☆214Updated 2 months ago
• yoshall / AirFormer
  PyTorch implementation of AirFormer, AAAI-23
  ☆156Updated 3 years 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 7 months ago
• louisechen520 / Bi-STAT
  ☆27Updated 2 years ago
• jiawenchen10 / STHSepNet
  KDD'2025. This project aims to explore the application of hypergraph spatio-temporal learning and Large Language Models (LLMs) in traffi…
  ☆32Updated last month
• yokifly / ASTTN_pytorch
  ☆40Updated 3 years ago
• wengwenchao123 / RGDAN
  [Neural Networks] RGDAN: A random graph diffusion attention network for traffic prediction
  ☆41Updated 5 months ago
• DrownFish19 / CorrSTN
  A correlation information-based spatiotemporal network for traffic flow forecasting
  ☆28Updated last year
• chenxiaodanhit / BiTGraph
  The code for Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values.
  ☆32Updated last year
• tongnie / ImputeFormer
  [KDD 2024] "ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation"
  ☆52Updated 9 months ago
• wengwenchao123 / PDG2Seq
  [Neural Networks] PDG2Seq: Periodic Dynamic Graph to Sequence model for Traffic Flow Prediction
  ☆22Updated 5 months ago
• Jimmy-7664 / STD-MAE
  [IJCAI-24] Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting
  ☆248Updated last month
• goaheand / AdapGL-pytorch
  ☆67Updated 4 years ago
• huogy / HSTGCNT
  ☆14Updated 3 years ago
• YoZhibo / MSGNet
  MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting (AAAI2024)
  ☆206Updated last year
• dhxdla / AdpSTGCN
  The code of AdpSTGCN: Adaptive Spatial Temporal Graph Convolutional Network for Traffic Forecasting
  ☆15Updated last year
• LiuZH-19 / Ada-STNet
  ☆44Updated 3 years ago
• shangzongjiang / Ada-MSHyper
  ☆78Updated 11 months ago
• NanakiC / LCDFormer
  LCDFormer
  ☆11Updated last year
• Echo-Ji / ST-SSL
  ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction
  ☆196Updated last year
• Kongwy5689 / STPGNN
  ☆31Updated last year