IGT-WSDM23

Official Pytorch Code for "Inductive Graph Transformer for Delivery Time Estimation", WSDM 2023

Framework

How to run

Enter IGT-main:

python main.py -d toy -m IGT

Configuration

You may configure datasets and models in configs.

Datasets

Under PIPL, we are unable to provide the evaluated datasets for public use. However, we generate a toy dataset (datasets/toy) with the same format to demonstrate how IGT works.

Citation

@inproceedings{zhou2023inductive,
  title={Inductive Graph Transformer for Delivery Time Estimation},
  author={Zhou, Xin and Wang, Jinglong and Liu, Yong and Wu, Xingyu and Shen, Zhiqi and Leung, Cyril},
  booktitle={Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining},
  pages={679--687},
  year={2023}
}

No commercial use. License reserved by authors.