QData/LaMP

ECML 2019: Graph Neural Networks for Multi-Label Classification

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This tool helps organize and classify content like news articles, images, or documents by assigning multiple relevant categories to each item. It takes your raw data, such as text or image features, and outputs a list of appropriate labels for each. This is useful for anyone needing to automatically tag content with several categories simultaneously, like content managers or data analysts.

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Use this if you need to automatically assign multiple related tags or categories to a piece of content, where the categories themselves might be interconnected.

Not ideal if your classification task only requires a single category per item or if you're dealing exclusively with multi-label image classification (where C-Tran might be more suitable).

content-tagging document-categorization information-retrieval data-organization multi-label-classification
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 9 / 25
Maturity 16 / 25
Community 19 / 25

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91

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Language

Python

License

MIT

Last pushed

Jul 21, 2024

Commits (30d)

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