Alternatives and similar repositories for STGSP

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

• boreshkinai / fc-gaga
  ☆69Updated 3 years ago
• Z-GCNETs / Z-GCNETs
  ☆40Updated 3 years ago
• liangzhehan / DMSTGCN
  ☆73Updated 2 years ago
• square-coder / STGODE
  Spatial-Temporal Graph ODE Neural Network
  ☆114Updated 3 years ago
• RobinLu1209 / ST-GFSL
  ☆45Updated 2 years ago
• alvinzhaowei / GAMCN
  This is an implementation of a traffic speed predicition model.
  ☆10Updated 2 years ago
• EternityZY / STNSCM
  This is the official release code of AAAI2023 accepted paper: "Spatial temporal Neural Structural Causal Models for Bike Flow Prediction"
  ☆37Updated 2 years ago
• RobinLu1209 / STAG-GCN
  Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting
  ☆71Updated 4 years ago
• AprLie / TrafficStream
  ☆48Updated 3 years ago
• LMissher / ST-GRAT
  The pytorch implementation of ST-GRAT: A Novel Spatio-temporal Graph Attention Network for Accurately Forecasting Dynamically Changing Ro…
  ☆42Updated 4 years ago
• tamps2gcnets / TAMP_S2GCNets
  ☆19Updated 2 years ago
• wengwenchao123 / DDGCRN
  [Pattern Recognition] Decomposition Dynamic Graph Conolutional Recurrent Network for Traffic Forecasting
  ☆87Updated 2 months ago
• alipay / RGSL
  ☆44Updated 3 years ago
• panzheyi / AutoSTG
  ☆25Updated 4 years ago
• LiuAoyu1998 / STIDGCN
  Spatial–Temporal Dynamic Graph Convolutional Network With Interactive Learning for Traffic Forecasting
  ☆68Updated 2 months ago
• LiuZH-19 / ESG
  PyTorch implementation of ESG
  ☆85Updated 2 years ago
• deepkashiwa20 / Urban_Concept_Drift
  [CIKM 2023] MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation
  ☆25Updated last year
• LMissher / STWave
  [ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks
  ☆99Updated 4 months ago
• haoxingl / STSAN
  Spatial-Temporal Self-Attention Network
  ☆25Updated 3 years ago
• Graph-Machine-Learning-Group / sgp
  Official repository for the paper "Scalable Spatiotemporal Graph Neural Networks" (AAAI 2023)
  ☆49Updated last year
• Bounger2 / ST-CGCN
  Display of data sets and core code in STCGCN
  ☆26Updated 2 years ago
• zhengdaoli / AGC-net
  AGC-Net (Adaptive Graph Convolution Networks) is an advanced model designed to predict traffic flow. Dataset: METR-LA, PEMS-BAY
  ☆11Updated last year
• Essaim / CGCDemandPrediction
  ☆49Updated 3 years ago
• VincLee8188 / GMAN-PyTorch
  Implementation of Graph Muti-Attention Network with PyTorch
  ☆163Updated last year
• JLDeng / ST-Norm
  [KDD 2021] Official Code of the paper "ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting"
  ☆61Updated last year
• VincLee8188 / Spatio-temporal-forecasting-PyTorch
  Leverage on recent advances in graph convolution and sequence modeling to design neural networks for spatio-temporal forecasting, which i…
  ☆24Updated 4 years ago
• RongfanLi98 / SPGCL
  SPGCL: Mining Spatio-Temporal Relations via Self-Paced Graph Contrastive Learning
  ☆14Updated 2 years ago
• XDZhelheim / HimNet
  [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".
  ☆60Updated 11 months ago
• wanhuaiyu / ASTGNN
  ☆16Updated 2 years ago
• CYBruce / STAWnet
  An end-to-end deep learning model for spatial-temporal prediction
  ☆35Updated 3 years ago