Alternatives and similar repositories for TAMP_S2GCNets

Users that are interested in TAMP_S2GCNets are comparing it to the libraries listed below

• square-coder / STGODE
  Spatial-Temporal Graph ODE Neural Network
  ☆125Updated 4 years ago
• TrustAGI-Lab / MTGODE
  [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".
  ☆89Updated 3 years ago
• AprLie / TrafficStream
  ☆49Updated 3 years ago
• RobinLu1209 / ST-GFSL
  ☆46Updated 3 years ago
• liuxu77 / STGCL
  When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting? (SIGSPATIAL 2022)
  ☆44Updated 3 years ago
• Z-GCNETs / Z-GCNETs
  ☆42Updated 4 years ago
• Graph-Machine-Learning-Group / sgp
  Official repository for the paper "Scalable Spatiotemporal Graph Neural Networks" (AAAI 2023)
  ☆50Updated 2 years ago
• ZhuoLinLi-shu / SDGL
  The official implementation of SDGL
  ☆38Updated last year
• 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
• liangzhehan / DMSTGCN
  ☆74Updated 3 years ago
• alipay / RGSL
  ☆44Updated 3 years ago
• boreshkinai / fc-gaga
  ☆67Updated 4 years ago
• EternityZY / STNSCM
  This is the official release code of AAAI2023 accepted paper: "Spatial temporal Neural Structural Causal Models for Bike Flow Prediction"
  ☆42Updated 3 years ago
• djm209 / HSTGODE
  HSTGODE code
  ☆10Updated 2 years ago
• LiuZH-19 / ESG
  PyTorch implementation of ESG
  ☆96Updated 2 years ago
• deepkashiwa20 / MegaCRN
  [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"
  ☆140Updated 2 years ago
• XDZhelheim / HimNet
  [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".
  ☆72Updated last year
• juyongjiang / TrendGCN
  [CIKM 2023] This is the official source code of "TrendGCN: Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal E…
  ☆50Updated 2 years ago
• JLDeng / ST-Norm
  [KDD 2021] Official Code of the paper "ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting"
  ☆63Updated last year
• chaoshangcs / GTS
  Discrete Graph Structure Learning for Forecasting Multiple Time Series, ICLR 2021.
  ☆180Updated 4 years ago
• jbdj-star / st
  ☆42Updated 3 years ago
• panzheyi / AutoSTG
  ☆25Updated 4 years ago
• yokifly / ASTTN_pytorch
  ☆40Updated 2 years ago
• Graph-Machine-Learning-Group / spin
  Official repository for the paper "Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations" (NeurIPS 202…
  ☆62Updated 2 years ago
• zyplanet / TPGNN
  ☆32Updated last year
• yuyolshin / PGCN
  ☆19Updated 2 years ago
• jeongwhanchoi / STG-NCDE
  "Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022
  ☆164Updated last year
• LiuAoyu1998 / STIDGCN
  Spatial–Temporal Dynamic Graph Convolutional Network With Interactive Learning for Traffic Forecasting
  ☆90Updated 8 months ago
• LMissher / STWave
  [ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks
  ☆108Updated 10 months ago
• RongfanLi98 / SPGCL
  SPGCL: Mining Spatio-Temporal Relations via Self-Paced Graph Contrastive Learning
  ☆14Updated 2 years ago