GestaltCogTeam / Ship_Classification_Moored
☆63Updated 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
- ☆64Updated 9 months ago
- Code for our Information Fusion paper MGSFformer: A Multi-Granularity Spatiotemporal Fusion Transformer for air quality prediction☆68Updated 8 months ago
- ☆10Updated 9 months ago
- Dynamic frequency domain graph convolution for traffic prediction☆70Updated 8 months ago
- Code for our CIKM'23 paper DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction☆82Updated last year
- Code for our SIGKDD'24 paper GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing☆94Updated last month
- Code for our VLDB'22 paper Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting.☆244Updated last year
- Code for our CIKM'22 paper Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting.☆281Updated last month
- Code for our SIGKDD'22 paper Pre-training-Enhanced Spatial-Temporal Graph Neural Network For Multivariate Time Series Forecasting.☆413Updated last year
- A Fair and Scalable Time Series Forecasting Benchmark and Toolkit.☆1,223Updated last week
- Paper list in traffic prediction field☆223Updated 9 months ago
- [AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.☆238Updated last year
- Traffic data processing tools in LibCity☆205Updated last year
- Code of H-STFormer with PyTorch2.0.☆11Updated last year
- LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting (NeurIPS 2023)☆202Updated last year
- ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction☆176Updated 4 months ago
- Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution, TKDD 2023☆296Updated 3 years ago
- Summary of open source code for deep learning models in the field of traffic prediction☆260Updated 2 years ago
- ☆77Updated last year
- DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting, which is accepted at ICML2022.☆162Updated 2 years ago
- ☆21Updated 10 months ago
- This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/93460…☆216Updated 3 years ago
- [CIKM'23] Official code for our paper "Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting".☆171Updated last year
- This is a Pytorch implementation of Traffic Transformer. Now the corresponding paper is available online at☆25Updated 2 years ago
- Spatial–Temporal Dynamic Graph Convolutional Network With Interactive Learning for Traffic Forecasting☆61Updated 5 months ago
- My personal PyTorch framework for multivariate time series forecasting.☆90Updated 2 months ago
- LibCity Experiment Management and Visualization Web Tool☆66Updated last year
- Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version☆652Updated 3 years ago
- Spatio-Temporal Prediction Paper List☆192Updated last week
- A correlation information-based spatiotemporal network for traffic flow forecasting☆29Updated last year