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.☆137Updated last year
- [ECMLPKDD21] Countrywide Origin-Destination Matrix Prediction and Its Application for COVID-19☆29Updated 2 years ago
- ☆125Updated 2 years ago
- This is the repository for the collection of Deep Learning for Traffic Prediction Problems.☆233Updated 2 years ago
- This repository provides an open source implementation of the Spatio-Temporal GAT introduced by Zhang et al in "Spatial-Temporal Graph At…☆103Updated 2 years ago
- [AAAI'19] Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting (Pytorch Replication)☆94Updated 4 years ago
- An Open Source Spatio-Temporal Prediction Package☆217Updated last year
- [ICDE'20] Predicting Origin-Destination Flow via Multi-Perspective Graph Convolutional Network (Pytorch Replication)☆21Updated 4 years ago
- The pytorch implementation of Traffic Flow Prediction via Spatial Temporal Graph Neural Network☆145Updated 7 months ago
- Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.☆70Updated 3 months ago
- ☆94Updated 3 years ago
- [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"☆130Updated last year
- Useful resources for traffic prediction, including popular papers, datasets, tutorials, toolkits, and other helpful repositories.☆144Updated 10 months ago
- Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using hist…☆302Updated last year
- A collection of research on spatio-temporal data mining☆156Updated 9 months ago
- [TKDE 2021 Paper] DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction☆16Updated last year
- [TKDD 2023] Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution☆314Updated 4 years ago
- When Will We Arrive? A Novel Multi-Task Spatio-Temporal Attention Network Based on Individual Preference for Estimating Travel Time☆39Updated 6 months ago
- code for "Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction"☆46Updated 4 years ago
- Graph Neural Network☆74Updated last year
- Spatio-Temporal Prediction Paper List☆244Updated 5 months ago
- Code for Multi-graph convolutional network for short-term passenger flow forecasting in urban rail transit☆35Updated 5 years ago
- Source code of implementing spatial-temporal zero-inflated negative binomial network for trip demand prediction☆26Updated 3 years ago
- Code of STFGNN@AAAI-2021 (Spatial-Temporal/ Traffic data forecasting)☆225Updated 4 years ago
- AAAI 2021. GSNet: Learning Spatial-Temporal Correlations from Geographical and Semantic Aspects for Traffic Accident Risk Forecasting☆36Updated 2 years ago
- [ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks☆103Updated 7 months ago
- ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction☆191Updated 10 months ago
- Dual Dynamic Spatial-Temporal Graph Convolution Network for Traffic Prediction☆49Updated 2 years ago
- [CIKM 2021 Resource Paper] DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction (Grid Part)☆55Updated 3 years ago
- Summary of Spatio-Temporal Representation Learning Models.☆75Updated 2 years ago