A. O. Mohammed

A Hybrid Deep Learning Approach for Influential Nodes Identification in Complex Networks

CNNG, a novel hybrid deep learning model combining Convolutional Neural Networks and Graph Attention Networks for predicting node influence, is proposed, which achieves the best average Kendall’s Tau coefficient and the highest average Monotonicity Index over ten networks.