SkillAgentSearch skills...

MLGNC

Multi-label Node Classification

Install / Use

/learn @Tianqi-py/MLGNC
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

MLGNC

Multi-label Node Classification A Pytorch Implementation of the Paper "Multi-label Node Classification On Graph-structured Data".

All the datasets used in our paper are in the folder "data/"

The proposed multi-label graph generator model can be found in folder "Graph Generator Model/"

The metric/ folder saves the implementation of all the four metrics use in our paper, including: AP, F1-micro, F1-macro, AUROC

And the implementation of all the baselines are in folder "models/"

please cite our paper using the following bibtex code:

@article{
zhao2023multilabel,
title={Multi-label Node Classification On Graph-Structured Data},
author={Tianqi Zhao and Thi Ngan Dong and Alan Hanjalic and Megha Khosla},
journal={Transactions on Machine Learning Research},
issn={2835-8856},
year={2023},
url={https://openreview.net/forum?id=EZhkV2BjDP},
note={}
}
View on GitHub
GitHub Stars14
CategoryDevelopment
Updated3mo ago
Forks2

Languages

Python

Security Score

72/100

Audited on Dec 22, 2025

No findings