TSGNet
This is a Pytorch implementation of TSGNet (Temporal-Static-Graph-Net), as described in our paper:
Hogun Park, Jennifer Neville, Exploiting Interaction Links for Node Classification with Deep Graph Neural Networks (IJCAI 2019)
Usage
Example Usage
$main.py --dataname "imdb"
Full Command List
The full list of command-line options is available with $main.py --help
Requirements
We tested the codes in the following environment, but it may work in their previous versions.
- Python 3.6
- Pytorch 1.7.0
- Python Geometric 1.6.3
Cite
If you find TSGNet useful in your research, we ask that you cite the following paper::
@inproceedings{parkneville2019,
title = {Exploiting Interaction Links for Node Classification with Deep Graph Neural Networks},
author = {Park, Hogun and Neville, Jennifer},
booktitle = {Proceedings of the Twenty-Eighth International Joint Conference on
Artificial Intelligence, {IJCAI-19}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
pages = {3223--3230},
year = {2019},
month = {7},
doi = {10.24963/ijcai.2019/447},
url = {https://doi.org/10.24963/ijcai.2019/447},
}
Misc
Datasets and Implementation of layers are following interfaces of Pytorch geometric.