Alternatives and similar repositories for DFDGCN:

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

• GestaltCogTeam / DSformer
  Code for our CIKM'23 paper DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction
  ☆80Updated last year
• GestaltCogTeam / GinAR
  Code for our SIGKDD'24 paper GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing
  ☆91Updated this week
• GestaltCogTeam / D2STGNN
  Code for our VLDB'22 paper Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting.
  ☆241Updated last year
• GestaltCogTeam / STID
  Code for our CIKM'22 paper Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting.
  ☆273Updated last week
• GestaltCogTeam / STEP
  Code for our SIGKDD'22 paper Pre-training-Enhanced Spatial-Temporal Graph Neural Network For Multivariate Time Series Forecasting.
  ☆407Updated last year
• GestaltCogTeam / BasicTS
  A Fair and Scalable Time Series Forecasting Benchmark and Toolkit.
  ☆958Updated last month
• Kongwy5689 / STPGNN
  ☆20Updated 9 months ago
• BUAABIGSCity / PDFormer
  [AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.
  ☆228Updated last year
• R0oup1iao / Traffic-Transformer
  This is a Pytorch implementation of Traffic Transformer. Now the corresponding paper is available online at
  ☆25Updated 2 years ago
• guoshnBJTU / ASTGNN
  This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/93460…
  ☆206Updated 3 years ago
• XDZhelheim / STAEformer
  [CIKM'23] Official code for our paper "Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting".
  ☆160Updated last year
• SYLan2019 / DSTAGNN
  DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting, which is accepted at ICML2022.
  ☆155Updated 2 years ago
• zouguojian / RCL-Learning
  In this study, we propose an end-to-end deep learning model-RCL-Learning that integrates ResNet and ConvLSTM.
  ☆16Updated 2 years ago
• XDZhelheim / Torch-MTS
  My personal PyTorch framework for multivariate time series forecasting.
  ☆86Updated 2 weeks ago
• YimiAChack / STDDE
  Official implementation for "Unveiling Delay Effects in Traffic Forecasting: A Perspective from Spatial-Temporal Delay Differential Equat…
  ☆13Updated 2 months ago
• tsinghua-fib-lab / Traffic-Benchmark
  Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution, TKDD 2023
  ☆290Updated 3 years ago
• Echo-Ji / ST-SSL
  ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction
  ☆172Updated 3 months ago
• liuxu77 / LargeST
  LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting (NeurIPS 2023)
  ☆190Updated last year
• SmallNana / STSGCN_Pytorch
  ☆76Updated last year
• LibCity / Bigscity-LibCity-Datasets
  Traffic data processing tools in LibCity
  ☆202Updated last year
• wengwenchao123 / PDG2Seq
  [Neural Networks] PDG2Seq: Periodic Dynamic Graph to Sequence model for Traffic Flow Prediction
  ☆11Updated this week
• LiuAoyu1998 / STIDGCN
  Spatial–Temporal Dynamic Graph Convolutional Network With Interactive Learning for Traffic Forecasting
  ☆57Updated 4 months ago
• LMissher / STWave
  [ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks
  ☆82Updated 11 months ago
• DrownFish19 / CorrSTN
  A correlation information-based spatiotemporal network for traffic flow forecasting
  ☆28Updated last year
• LeiBAI / AGCRN
  Adaptive Graph Convolutional Recurrent Network
  ☆379Updated last year