willyfh/graph-transformer

An unofficial implementation of Graph Transformer (Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification) - IJCAI 2021

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Emerging

This is a tool for machine learning practitioners and researchers who need to classify data points when only a small portion of them are labeled. It takes in graph-structured data, where nodes represent data points and edges represent relationships, and outputs predicted labels for the unlabeled nodes. This project is ideal for those working on semi-supervised classification tasks in various domains.

No commits in the last 6 months. Available on PyPI.

Use this if you need to classify interconnected data points efficiently, even when most of your data lacks labels, leveraging the relationships between them.

Not ideal if your data is not inherently structured as a graph or if you have a fully labeled dataset for traditional supervised learning.

machine-learning-research semi-supervised-learning graph-data-analysis data-classification
Stale 6m
Maintenance 0 / 25
Adoption 7 / 25
Maturity 25 / 25
Community 15 / 25

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Stars

35

Forks

6

Language

Python

License

MIT

Last pushed

Apr 20, 2024

Commits (30d)

0

Dependencies

2

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