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20232026
most citedConnecting the Dots: What Graph-Based Text Representations Work Best for Text Classification Using Graph Neural Networks?

6 citations · 6 across the 5 of their papers we have counts for

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cs.CL2024

GraphLSS: Integrating Lexical, Structural, and Semantic Features for Long Document Extractive Summarization

Margarita Bugueño, Hazem Abou Hamdan, Gerard de Melo

Heterogeneous graph neural networks have recently gained attention for long document summarization, modeling the extraction as a node classification task. Although effective, these…