CoGraphNet for enhanced text classification using word-sentence heterogeneous graph representations and improved interpretability

CoGraphNet for enhanced text classification using word-sentence heterogeneous graph representations and improved interpretability

Abstract Text Graph Representation Learning through Graph Neural Networks (TG-GNN) is a powerful approach in natural language processing and information retrieval. However, it faces challenges in computational complexity and interpretability. In this work, we propose CoGraphNet, a novel graph-based...

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Bibliographic Details
Main Authors: Pengyi Li, Xueying Fu, Juntao Chen, Junyi Hu
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
CoGraphNet
Text classification
Graph quality
Interpretability
Graph representation learning
Word-sentence heterogeneous graphs
Online Access:https://doi.org/10.1038/s41598-024-83535-9
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https://doi.org/10.1038/s41598-024-83535-9

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