GMAN: A Graph Multi-Attention Network for Traffic Prediction (GMAN, https://fanxlxmu.github.io/publication/aaai2020/) was accepted by AAAI-2020.
☆542Apr 12, 2022Updated 4 years ago
Alternatives and similar repositories for GMAN
Users that are interested in GMAN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementation of Graph Muti-Attention Network with PyTorch☆175Nov 2, 2023Updated 2 years ago
- graph wavenet☆824Mar 14, 2022Updated 4 years ago
- Adaptive Graph Convolutional Recurrent Network☆444Feb 23, 2024Updated 2 years ago
- AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting☆464Feb 4, 2020Updated 6 years ago
- Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow☆1,448Dec 9, 2024Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch☆557Jul 17, 2024Updated 2 years ago
- Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version☆748Jul 13, 2021Updated 5 years ago
- Code of STFGNN@AAAI-2021 (Spatial-Temporal/ Traffic data forecasting)☆233Jan 26, 2021Updated 5 years ago
- ☆948Jul 6, 2023Updated 3 years ago
- [TKDD 2023] Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution☆336May 24, 2021Updated 5 years ago
- This is the repository for the collection of Graph Neural Network for Traffic Forecasting.☆1,211Aug 7, 2024Updated 2 years ago
- Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method☆1,787Sep 1, 2025Updated last year
- [IJCAI'18] Spatio-Temporal Graph Convolutional Networks☆1,244Jun 14, 2026Updated 4 months ago
- ⚠️[Deprecated] no longer maintained, please use the code in https://github.com/guoshnBJTU/ASTGCN-r-pytorch☆430Jun 28, 2019Updated 7 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Traffic Graph Convolutional Recurrent Neural Network☆421Dec 11, 2019Updated 6 years ago
- Modifications to Graph Wavenet☆113Dec 28, 2019Updated 6 years ago
- The codes and data of paper "Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning"☆215Jul 6, 2023Updated 3 years ago
- 🚗 Implementation of spatio-temporal graph convolutional network with PyTorch☆368Dec 11, 2018Updated 7 years ago
- Spatial-Temporal Graph ODE Neural Network☆131Jan 18, 2022Updated 4 years ago
- Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (ASTGCN) AAAI 2019☆259Aug 13, 2019Updated 7 years ago
- [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"☆149Dec 23, 2023Updated 2 years ago
- Code for our Spatiotemporal Dynamic Network☆288Apr 28, 2019Updated 7 years ago
- ☆68Jan 12, 2022Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using hist…☆320Nov 10, 2023Updated 2 years ago
- The pytorch code of DGCN(TITS)☆55Jul 18, 2022Updated 4 years ago
- DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting, which is accepted at ICML2022.☆312Jun 25, 2026Updated 4 months ago
- [CIKM'23] Official code for our paper "Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting".☆246Nov 15, 2025Updated 11 months ago
- This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/93460…☆265Jul 1, 2021Updated 5 years ago
- Attentive Traffic Flow Machines☆60Oct 16, 2020Updated 6 years ago
- [IJCAI-24] Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting☆261Mar 9, 2026Updated 7 months ago
- ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction☆204Dec 12, 2024Updated last year
- This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic…☆248Jul 27, 2023Updated 3 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- AAAIA2020-Accident Forecasting Experiments Setups☆40Nov 19, 2020Updated 5 years ago
- The code of AAAI2021 paper of HGCN for Traffic Forecasting☆100Jul 18, 2022Updated 4 years ago
- "Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022☆178Sep 14, 2024Updated 2 years ago
- Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting☆618May 31, 2024Updated 2 years ago
- ☆73Nov 19, 2022Updated 3 years ago
- Code for our VLDB'22 paper Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting.☆285Oct 16, 2023Updated 3 years ago
- ☆42Mar 30, 2022Updated 4 years ago