Continuous-Time and Multi-Level Graph Representation Learning for Origin-Destination Demand Prediction

This is an implementation of CMOD: [Continuous-Time and Multi-Level Graph Representation Learning for Origin-Destination Demand Prediction, KDD2022].

Environment

• Python 3.6.12
• PyTorch 1.6.0
• NumPy 1.19.1
• tqdm 4.51.0

Dataset

Step 1： Download the processed dataset from Baidu Yun (Access Code:luck).

Step 2: Put them into ./data directories.

Train command

# Train with NYTaxi
python train_OD.py --data=NYTaxi