Fake Post Detection Using Graph Neural Networks
O. A. Izotova, D. S. Lavrova · Automatic Control and Computer Sciences · 2021
Abstract— The article is devoted to the study of graph neural networks as a separate field and the possibility of their application to solve such an urgent cybersecurity problem as the detection of fake posts. The authors’ implementation of a graph neural network for detecting fake posts is described. The results of experimental studies showing the effectiveness of graph neural networks for solving the problem are presented.