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
• zyplanet / TPGNN
  ☆32Updated last year
• zhycs / LaST
  Code for paper titled "Learning Latent Seasonal-Trend Representations for Time Series Forecasting" in NeurIPS 2022
  ☆84Updated 3 years ago
• razvanc92 / triformer
  ☆25Updated 3 years ago
• Z-GCNETs / Z-GCNETs
  ☆42Updated 4 years ago
• boreshkinai / fc-gaga
  ☆67Updated 4 years ago
• chaoshangcs / GTS
  Discrete Graph Structure Learning for Forecasting Multiple Time Series, ICLR 2021.
  ☆180Updated 4 years ago
• Graph-Machine-Learning-Group / sgp
  Official repository for the paper "Scalable Spatiotemporal Graph Neural Networks" (AAAI 2023)
  ☆50Updated 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"
  ☆42Updated 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"
  ☆64Updated last year
• LiuZH-19 / ESG
  PyTorch implementation of ESG
  ☆96Updated 2 years ago
• petecheng / Time2GraphPlus
  Source codes for Time2Graph+ model.
  ☆35Updated 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
• shangzongjiang / MAGNN
  ☆107Updated last year
• xingyu617 / SimTS_Representation_Learning
  ☆49Updated 2 years ago
• AprLie / TrafficStream
  ☆49Updated 3 years ago
• gorgen2020 / DVGNN
  ☆30Updated 5 months ago
• yiminghzc / MDST-GNN
  a multivariate time series deep spatiotemporal forecasting model with graph neural network (MDST-GNN) is proposed to solve the existing …
  ☆32Updated 3 years ago
• YoZhibo / ForecastGrapher
  ForecastGrapher: Redefining Multivariate Time Series Forecasting with Graph Neural Networks
  ☆32Updated last year
• guokan987 / HGCN
  The code of AAAI2021 paper of HGCN for Traffic Forecasting
  ☆100Updated 3 years ago
• AI4CTS / lightcts
  ☆40Updated 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
• cruiseresearchgroup / TSCP2
  Time Series Change Point Detection based on Contrastive Predictive Coding
  ☆85Updated 3 years ago
• square-coder / STGODE
  Spatial-Temporal Graph ODE Neural Network
  ☆125Updated 4 years ago
• yfzhang114 / OneNet
  This is an official PyTorch implementation of the NeurIPS 2023 paper 《OneNet: Enhancing Time Series Forecasting Models under Concept Drif…
  ☆125Updated last year
• deepkashiwa20 / Urban_Concept_Drift
  [CIKM 2023] MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation
  ☆25Updated 2 years ago
• VincLee8188 / GMAN-PyTorch
  Implementation of Graph Muti-Attention Network with PyTorch
  ☆175Updated 2 years ago
• tamps2gcnets / TAMP_S2GCNets
  ☆19Updated 3 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
• BUAABIGSCity / KDDCUP2022
  [KDD CUP 2022] 11th place solution of Spatial-Temporal Graph Neural Network for Wind Power Forecasting in Baidu KDD CUP 2022
  ☆63Updated 2 years ago