AdrianBZG/HyperBERT

[EMNLP 2024] HyperBERT: Mixing Hypergraph-Aware Layers with Language Models for Node Classification on Text-Attributed Hypergraphs

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Experimental

This project helps researchers and data scientists classify nodes within complex, interconnected datasets like academic papers or movies. It takes text-attributed hypergraphs, such as citations or movie relationships, and uses advanced language models to assign labels to individual items. The end users are primarily researchers working with large textual networks.

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Use this if you need to categorize or label individual entities (like papers, authors, or movies) within a dataset where items are connected in complex, group-based relationships and described by text.

Not ideal if your data lacks textual descriptions for its entities or if your relationships are simple, pairwise connections rather than group-based.

academic-research citation-analysis text-categorization network-analysis movie-genre-classification
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 4 / 25

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23

Forks

1

Language

Python

License

MIT

Last pushed

Apr 06, 2025

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