LLGC

<h2 align="center"> L²GC: Lorentzian Linear Graph Convolutional Networks For Node Classification </h2> <p align="center"> <img src="https://img.shields.io/badge/version-1.0.1-blue"> <img src="https://img.shields.io/badge/PyTorch-%23EE4C2C.svg?e&logo=PyTorch&logoColor=white"> <a href="https://lrec-coling-2024.org/"><img src="https://img.shields.io/badge/COLING-2024-%23bd9f65?labelColor=4aaaf1&color=4aaaf1"></a> </p>

This repository is the official implementation of "L²GC: Lorentzian Linear Graph Convolutional Networks For Node Classification" accepted by LREC-COLING 2024.

<!-- Run Locally -->

:running: Reproduce the Results

    python run_xx.py

Citation

@inproceedings{liang2024,
    title = "L$^2${GC}:Lorentzian Linear Graph Convolutional Networks for Node Classification",
    author = "Liang, Qiuyu  and Wang, Weihua  and Bao, Feilong  and Gao, Guanglai",
    booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)",
    year = "2024",
    url = "https://aclanthology.org/2024.lrec-main.873",
    pages = "9988--9998"
    }

Acknowledgement

Our code is based on SGC, thank you for the excellent source code.