jiejie fan

HC2-GNN: Hierarchical Graph Representation Learning for Efficient Text Classification

Graph Neural Networks (GNNs) offer superior modeling capabilities for text classification by capturing complex spatial features within semantic representations. However, existing graph-based approaches often suffer from computational inefficiency and limited ability to model both fine-grained local