LGLP
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Line Graph Neural Networks for Link Prediction
Introduction
Pytorch implementation of Line Graph Neural Networks for Link Prediction.

If using this code , please cite our paper.
@article{cai2020line,
title={Line graph neural networks for link prediction},
author={Cai, Lei and Li, Jundong and Wang, Jie and Ji, Shuiwang},
journal={arXiv preprint arXiv:2010.10046},
year={2020}
}
System requirement
Programming language
Python 3.5 +
Python Packages
Pytorch , Numpy , Networkx, PyTorch Geometric
Datasets
Raw datasets are obtained from https://noesis.ikor.org/datasets/link-prediction. Datasets are processed and saved into mat file.
Training
Train the network
cd LGLP/Python
python Main.py --data-name=BUP --test-ratio=0.5
Acknowlegdements
Part of code borrow from https://github.com/muhanzhang/SEAL and https://github.com/muhanzhang/DGCNN. Thanks for their excellent work!