odinhg / Graph-Neural-Networks-INF367A
Traffic prediction with graph neural network using PyTorch Geometric. The implementation uses the MetaLayer class to build the GNN which allows for separate edge, node and global models.
☆22Updated last year
Alternatives and similar repositories for Graph-Neural-Networks-INF367A:
Users that are interested in Graph-Neural-Networks-INF367A are comparing it to the libraries listed below
- This repository provides an open source implementation of the Spatio-Temporal GAT introduced by Zhang et al in "Spatial-Temporal Graph At…☆88Updated 2 years ago
- Code accompanying our NeurIPS 2022 traffic4cast challenge☆76Updated last year
- PeMS Datasets☆32Updated last year
- The pytorch implementation of Traffic Flow Prediction via Spatial Temporal Graph Neural Network☆126Updated 3 years ago
- [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"☆111Updated last year
- Code for our VLDB'22 paper Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting.☆178Updated last year
- This is the repository for the collection of Deep Learning for Traffic Prediction Problems.☆226Updated last year
- Implementation of Graph Muti-Attention Network with PyTorch☆147Updated last year
- Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using hist…☆286Updated last year
- Spatio-Temporal Prediction Paper List☆164Updated last month
- Summary of open source code for deep learning models in the field of traffic prediction☆255Updated 2 years ago
- Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.☆65Updated 7 months ago
- ☆86Updated 2 years ago
- Paper & Code & Dataset Collection of Spatial-Temporal Data Mining.☆116Updated 7 months ago
- Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch☆471Updated 7 months ago
- Adaptive Graph Convolutional Recurrent Network☆373Updated 11 months ago
- This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/93460…☆202Updated 3 years ago
- [PAKDD 2021] SST-GNN: Simplified Spatio-temporal Traffic forecasting model using Graph Neural Network☆35Updated 5 months ago
- A PyTorch implementation of T-GCN☆61Updated last year
- ☆76Updated last year
- Code of STFGNN@AAAI-2021 (Spatial-Temporal/ Traffic data forecasting)☆218Updated 4 years ago
- RiccardoSpolaor / Verbal-Explanations-of-Spatio-Temporal-Graph-Neural-Networks-for-Traffic-ForecastingAn eXplainable AI system to elucidate short-term speed forecasts in traffic networks obtained by Spatio-Temporal Graph Neural Networks.☆15Updated 11 months ago
- ☆115Updated last year
- ☆62Updated 3 years ago
- Traffic Flow Prediction with Vehicle Trajectories☆67Updated 3 years ago
- [AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.☆225Updated last year
- ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction☆168Updated 2 months ago
- codes of Deep Spatio-Temporal Graph Convolutional Network for Traffic Accident Prediction☆67Updated 2 years ago
- STGM: Spatio-Temporal Graph Mixformer for Traffic Forecasting☆97Updated last year
- Indonesia's COVID-19 daily new cases prediction using LSTM-GCN method.☆14Updated 4 years ago