Alternatives and similar repositories for CAMul

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

• alipay / RGSL
  ☆44Updated 3 years ago
• Z-GCNETs / Z-GCNETs
  ☆42Updated 4 years ago
• TrustAGI-Lab / MTGODE
  [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".
  ☆87Updated 3 years ago
• tamps2gcnets / TAMP_S2GCNets
  ☆19Updated 3 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
• EternityZY / STNSCM
  This is the official release code of AAAI2023 accepted paper: "Spatial temporal Neural Structural Causal Models for Bike Flow Prediction"
  ☆41Updated 2 years ago
• zyplanet / TPGNN
  ☆32Updated last year
• boreshkinai / fc-gaga
  ☆68Updated 3 years ago
• LiuZH-19 / ESG
  PyTorch implementation of ESG
  ☆92Updated 2 years ago
• Graph-Machine-Learning-Group / sgp
  Official repository for the paper "Scalable Spatiotemporal Graph Neural Networks" (AAAI 2023)
  ☆50Updated 2 years ago
• razvanc92 / triformer
  ☆25Updated 3 years ago
• square-coder / STGODE
  Spatial-Temporal Graph ODE Neural Network
  ☆120Updated 3 years ago
• RobinLu1209 / STAG-GCN
  Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting
  ☆72Updated 5 years ago
• AprLie / TrafficStream
  ☆49Updated 3 years ago
• gorgen2020 / DVGNN
  ☆27Updated 2 months ago
• zhycs / LaST
  Code for paper titled "Learning Latent Seasonal-Trend Representations for Time Series Forecasting" in NeurIPS 2022
  ☆82Updated 3 years ago
• deepkashiwa20 / Urban_Concept_Drift
  [CIKM 2023] MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation
  ☆25Updated 2 years ago
• panzheyi / AutoSTG
  ☆25Updated 4 years ago
• YoZhibo / ForecastGrapher
  ForecastGrapher: Redefining Multivariate Time Series Forecasting with Graph Neural Networks
  ☆32Updated last year
• RobinLu1209 / ST-GFSL
  ☆45Updated 3 years ago
• shangzongjiang / MAGNN
  ☆106Updated 11 months ago
• XDZhelheim / HimNet
  [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".
  ☆67Updated last year
• chaoshangcs / GTS
  Discrete Graph Structure Learning for Forecasting Multiple Time Series, ICLR 2021.
  ☆178Updated 4 years ago
• LMissher / STWave
  [ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks
  ☆106Updated 8 months 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
• alanyoungCN / WaveForM
  PyTorch implementation for paper "WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series" (A…
  ☆49Updated 2 years ago
• deepkashiwa20 / MegaCRN
  [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"
  ☆132Updated last year
• XDZhelheim / Torch-MTS
  My personal PyTorch framework for multivariate time series forecasting.
  ☆97Updated 2 weeks ago
• idea-iitd / Frigate
  ☆15Updated 2 years ago
• liuxu77 / STGCL
  When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting? (SIGSPATIAL 2022)
  ☆45Updated 3 years ago