| lehaifeng/T-GCN |
1,011 |
|
0 |
0 |
over 2 years ago |
0 |
|
1 |
|
Jupyter Notebook |
| Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method |
| jwwthu/GNN4Traffic |
864 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
|
|
| This is the repository for the collection of Graph Neural Network for Traffic Forecasting. |
| aprbw/traffic_prediction |
237 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
mit |
TeX |
| Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using historical data (timeseries). |
| Davidham3/ASTGCN |
183 |
|
0 |
0 |
almost 7 years ago |
0 |
|
15 |
|
Python |
| Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (ASTGCN) AAAI 2019 |
| uber-research/LaneGCN |
128 |
|
0 |
0 |
almost 5 years ago |
0 |
|
6 |
other |
Python |
| [ECCV2020 Oral] Learning Lane Graph Representations for Motion Forecasting |
| Coolgiserz/Awesome-Traffic-Prediction |
78 |
|
0 |
0 |
over 3 years ago |
0 |
|
1 |
|
|
| Useful resources for traffic prediction, including popular papers, datasets, tutorials, toolkits, and other helpful repositories. |
| alexmonti19/dagnet |
72 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
mit |
Python |
| PyTorch code for ICPR 2020 paper "DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting" |
| PySimpleGUI/PySimpleGUI-COVID19 |
67 |
|
0 |
0 |
almost 4 years ago |
0 |
|
0 |
|
Python |
| A collection of PySimpleGUI based tools to help analyze the spread of the COVID-19 virus |
| FelixOpolka/STGCN-PyTorch |
67 |
|
0 |
0 |
over 7 years ago |
0 |
|
5 |
mit |
Python |
| 🚗 Implementation of spatio-temporal graph convolutional network with PyTorch |
| INK-USC/temporal-gcn-lstm |
44 |
|
0 |
0 |
over 4 years ago |
0 |
|
0 |
|
Python |
| Code for Characterizing and Forecasting User Engagement with In-App Action Graphs: A Case Study of Snapchat |
