GestaltCogTeam / Ship_Classification_MooredLinks
☆61Updated last year
Alternatives and similar repositories for Ship_Classification_Moored
Users that are interested in Ship_Classification_Moored are comparing it to the libraries listed below
Sorting:
- ☆61Updated last year
- Code for our Information Fusion paper MGSFformer: A Multi-Granularity Spatiotemporal Fusion Transformer for air quality prediction☆66Updated last year
- Dynamic frequency domain graph convolution for traffic prediction☆67Updated 11 months ago
- ☆9Updated last year
- Code for our CIKM'23 paper DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction☆80Updated last year
- Code for our SIGKDD'24 paper GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing☆92Updated 5 months ago
- Code for our VLDB'22 paper Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting.☆256Updated last year
- Code for our CIKM'22 paper Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting.☆282Updated 5 months ago
- Code for our SIGKDD'22 paper Pre-training-Enhanced Spatial-Temporal Graph Neural Network For Multivariate Time Series Forecasting.☆420Updated last year
- A Fair and Scalable Time Series Forecasting Benchmark and Toolkit.☆1,384Updated 3 weeks ago
- ☆10Updated 3 months ago
- ☆25Updated last year
- The code of AdpSTGCN: Adaptive Spatial Temporal Graph Convolutional Network for Traffic Forecasting☆12Updated last year
- [AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.☆250Updated last year
- [Neural Networks] PDG2Seq: Periodic Dynamic Graph to Sequence model for Traffic Flow Prediction☆17Updated 2 months ago
- This is a Pytorch implementation of Traffic Transformer. Now the corresponding paper is available online at☆26Updated 2 years ago
- An efficient spatial-temporal transformer with temporal aggregation and spatial memory for traffic forecasting☆27Updated 3 months ago
- The repo is the official implementation for the paper: [MGCN: Mamba-Integrated Spatiotemporal Graph Convolutional Network for Long-Term T…☆15Updated this week
- [CIKM'23] Official code for our paper "Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting".☆189Updated last year
- ☆10Updated 2 years ago
- ☆10Updated 5 months ago
- Spatial–Temporal Dynamic Graph Convolutional Network With Interactive Learning for Traffic Forecasting☆68Updated 2 months ago
- ☆21Updated 8 months ago
- DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting, which is accepted at ICML2022.☆178Updated 3 years ago
- In this study, we propose an end-to-end deep learning model-RCL-Learning that integrates ResNet and ConvLSTM.☆16Updated 3 years ago
- A pytorch re-implementation of STFGNN☆28Updated 2 years ago
- A novel Encoder-Decoder model based on read-first LSTM for air pollutant prediction☆14Updated 3 years ago
- [ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks☆99Updated 4 months ago
- This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/93460…☆232Updated 4 years ago
- My personal PyTorch framework for multivariate time series forecasting.☆96Updated 5 months ago