TrafficGCN / osmnx_adjacency_matrix_for_graph_convolutional_networksLinks
Creating an Adjacency Matrix Using the Dijkstra Algorithm for Graph Convolutional Networks GCNs
☆25Updated last year
Alternatives and similar repositories for osmnx_adjacency_matrix_for_graph_convolutional_networks
Users that are interested in osmnx_adjacency_matrix_for_graph_convolutional_networks are comparing it to the libraries listed below
Sorting:
- Paper & Code & Dataset Collection of Spatial-Temporal Data Mining.☆135Updated last year
- This is the repository for the collection of Deep Learning for Traffic Prediction Problems.☆233Updated last year
- ☆123Updated 2 years ago
- [ECMLPKDD21] Countrywide Origin-Destination Matrix Prediction and Its Application for COVID-19☆30Updated 2 years ago
- Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using hist…☆298Updated last year
- [AAAI'19] Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting (Pytorch Replication)☆93Updated 4 years ago
- ☆93Updated 3 years ago
- Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.☆69Updated last month
- This repository provides an open source implementation of the Spatio-Temporal GAT introduced by Zhang et al in "Spatial-Temporal Graph At…☆100Updated 2 years ago
- Useful resources for traffic prediction, including popular papers, datasets, tutorials, toolkits, and other helpful repositories.☆143Updated 8 months ago
- Summary of open source code for deep learning models in the field of traffic prediction☆268Updated 2 years ago
- AAAI 2021. GSNet: Learning Spatial-Temporal Correlations from Geographical and Semantic Aspects for Traffic Accident Risk Forecasting☆35Updated 2 years ago
- [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"☆126Updated last year
- Code for Multi-graph convolutional network for short-term passenger flow forecasting in urban rail transit☆33Updated 5 years ago
- This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic…☆245Updated 2 years ago
- [TKDE 2021 Paper] DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction☆16Updated last year
- The pytorch implementation of Traffic Flow Prediction via Spatial Temporal Graph Neural Network☆143Updated 5 months ago
- Code of STFGNN@AAAI-2021 (Spatial-Temporal/ Traffic data forecasting)☆219Updated 4 years ago
- ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction☆184Updated 8 months ago
- [ICDE'20] Predicting Origin-Destination Flow via Multi-Perspective Graph Convolutional Network (Pytorch Replication)☆21Updated 4 years ago
- [TKDD 2023] Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution☆306Updated 4 years ago
- Graph Neural Network☆74Updated last year
- A collection of research on spatio-temporal data mining☆156Updated 7 months ago
- [CIKM 2021 Resource Paper] DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction (Grid Part)☆54Updated 3 years ago
- AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting☆50Updated 2 years ago
- Spatio-Temporal Prediction Paper List☆230Updated 3 months ago
- Organize some grid-based traffic flow datasets, mainly New York City bicycle and taxi data☆56Updated 4 years ago
- [ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks☆99Updated 5 months ago
- [Pattern Recognition] Decomposition Dynamic Graph Conolutional Recurrent Network for Traffic Forecasting☆86Updated 2 months ago
- PeMS Datasets☆38Updated 3 months ago