☆79Nov 26, 2023Updated 2 years ago
Alternatives and similar repositories for STSGCN_Pytorch
Users that are interested in STSGCN_Pytorch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A pytorch re-implementation of STFGNN☆30Mar 8, 2023Updated 3 years ago
- AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting☆447Feb 4, 2020Updated 6 years ago
- Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version☆725Jul 13, 2021Updated 4 years ago
- ☆14Apr 23, 2020Updated 5 years ago
- Code of STFGNN@AAAI-2021 (Spatial-Temporal/ Traffic data forecasting)☆228Jan 26, 2021Updated 5 years ago
- [CIKM'23] Official code for our paper "Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting".☆218Nov 15, 2025Updated 4 months ago
- ☆49May 24, 2022Updated 3 years ago
- ☆29May 16, 2023Updated 2 years ago
- ☆73Nov 19, 2022Updated 3 years ago
- Adaptive Graph Convolutional Recurrent Network☆420Feb 23, 2024Updated 2 years ago
- This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/93460…☆258Jul 1, 2021Updated 4 years ago
- "Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022☆167Sep 14, 2024Updated last year
- [AAAI'19] Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting (Pytorch Replication)☆97May 17, 2021Updated 4 years ago
- AGC-Net (Adaptive Graph Convolution Networks) is an advanced model designed to predict traffic flow. Dataset: METR-LA, PEMS-BAY☆12Sep 6, 2023Updated 2 years ago
- DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting, which is accepted at ICML2022.☆194Aug 1, 2022Updated 3 years ago
- AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting☆13Dec 20, 2019Updated 6 years ago
- Spatial-Temporal Graph ODE Neural Network☆127Jan 18, 2022Updated 4 years ago
- ☆19Aug 31, 2022Updated 3 years ago
- The PyTorch implementation of STGCN.☆655Apr 2, 2025Updated 11 months ago
- ☆20Jan 19, 2022Updated 4 years ago
- [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"☆142Dec 23, 2023Updated 2 years ago
- ☆13Apr 14, 2025Updated 11 months ago
- A correlation information-based spatiotemporal network for traffic flow forecasting☆28Feb 23, 2024Updated 2 years ago
- This is the repository for the collection of Graph Neural Network for Traffic Forecasting.☆1,199Aug 7, 2024Updated last year
- [ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks☆111Mar 18, 2025Updated last year
- Spatial-Temporal Transformer Networks for Traffic Flow Forecasting☆29Apr 27, 2021Updated 4 years ago
- Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using hist…☆315Nov 10, 2023Updated 2 years ago
- Spatio-temporal modeling 论文列表（主要是graph convolution相关)☆24Nov 7, 2019Updated 6 years ago
- Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch☆545Jul 17, 2024Updated last year
- ☆67Jan 23, 2022Updated 4 years ago
- ☆11Jan 2, 2022Updated 4 years ago
- This is a Pytorch implementation of Traffic Transformer. Now the corresponding paper is available online at☆26Mar 14, 2023Updated 3 years ago
- [IJCAI'18] Spatio-Temporal Graph Convolutional Networks☆1,196Apr 29, 2024Updated last year
- Reproduce - Traffic_prediction - StemGNN(NeurIPS20)☆12Feb 5, 2022Updated 4 years ago
- This is an implementation of a traffic speed predicition model.☆10Oct 27, 2022Updated 3 years ago
- [AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.☆287Oct 13, 2023Updated 2 years ago
- The code of AdpSTGCN: Adaptive Spatial Temporal Graph Convolutional Network for Traffic Forecasting☆15Apr 16, 2024Updated last year
- This is the repository for the collection of Deep Learning for Traffic Prediction Problems.☆232Oct 25, 2023Updated 2 years ago
- ☆13Mar 29, 2022Updated 3 years ago