nnzhan / MTGNN

Related projects ⓘ

Alternatives and complementary repositories for MTGNN

• laiguokun / multivariate-time-series-data
  ☆762Updated 7 years ago
• microsoft / StemGNN
  Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting
  ☆512Updated 5 months ago
• nnzhan / Graph-WaveNet
  graph wavenet
  ☆623Updated 2 years ago
• LeiBAI / AGCRN
  Adaptive Graph Convolutional Recurrent Network
  ☆357Updated 8 months ago
• chnsh / DCRNN_PyTorch
  Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch
  ☆454Updated 3 months ago
• lixus7 / Time-Series-Works-Conferences
  Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)
  ☆798Updated last month
• Davidham3 / STSGCN
  AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting
  ☆350Updated 4 years ago
• thuml / Nonstationary_Transformers
  Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/a…
  ☆474Updated 2 months ago
• GestaltCogTeam / BasicTS
  A Fair and Scalable Time Series Forecasting Benchmark and Toolkit.
  ☆635Updated this week
• GestaltCogTeam / STEP
  Code for our SIGKDD'22 paper Pre-training-Enhanced Spatial-Temporal Graph Neural Network For Multivariate Time Series Forecasting.
  ☆338Updated 10 months ago
• guoshnBJTU / ASTGCN-2019-pytorch
  Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version
  ☆584Updated 3 years ago
• zhengchuanpan / GMAN
  GMAN: A Graph Multi-Attention Network for Traffic Prediction (GMAN, https://fanxlxmu.github.io/publication/aaai2020/) was accepted by AAA…
  ☆415Updated 2 years ago
• mlpotter / Transformer_Time_Series
  Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (NeurIPS 2019)
  ☆544Updated last year
• KimMeen / Awesome-GNN4TS
  [TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)
  ☆622Updated 3 months ago
• EvilPsyCHo / Deep-Time-Series-Prediction
  Seq2Seq, Bert, Transformer, WaveNet for time series prediction.
  ☆572Updated 3 months ago
• cure-lab / SCINet
  The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“. (NeurIPS 2…
  ☆634Updated last year
• MAZiqing / FEDformer
  ☆643Updated last year
• LiamMaclean216 / Pytorch-Transfomer
  My implementation of the transformer architecture from the Attention is All you need paper applied to time series.
  ☆312Updated 3 years ago
• hazdzz / STGCN
  The PyTorch implementation of STGCN.
  ☆496Updated 2 months ago
• ghsama / ConvTransformerTimeSeries
  Convolutional Transformer for time series
  ☆267Updated 4 years ago
• zhihanyue / ts2vec
  A universal time series representation learning framework
  ☆612Updated 3 months ago
• nok-halfspace / Transformer-Time-Series-Forecasting
  ☆379Updated 3 years ago
• husnejahan / DeepAR-pytorch
  ☆241Updated 3 years ago
• zhouhaoyi / ETDataset
  The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.
  ☆670Updated 3 years ago
• GestaltCogTeam / STID
  Code for our CIKM'22 paper Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting.
  ☆188Updated last month
• laiguokun / LSTNet
  ☆662Updated last year
• zhykoties / TimeSeries
  Implementation of deep learning models for time series in PyTorch.
  ☆372Updated 4 years ago
• chaoshangcs / GTS
  Discrete Graph Structure Learning for Forecasting Multiple Time Series, ICLR 2021.
  ☆169Updated 2 years ago
• xiyuanzh / time-series-papers
  An up-to-date list of time-series related papers in AI venues.
  ☆360Updated 4 months ago
• bighuang624 / DSANet
  Code for the CIKM 2019 paper "DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting".
  ☆260Updated 4 months ago