Fuzzy Graph Neural Network Boosts Scientific Paper Classification Accuracy

A new framework, IFCG-GNN, has been developed to automate the classification of scientific articles using a fuzzy graph neural network. Published in Frontiers in Artificial Intelligence, this system achieved approximately 99.5% accuracy on a dataset of over 12,500 papers, marking a significant advance in managing the increasing volume of academic literature.