FAKE POSTS DETECTION USING GRAPH NEURAL NETWORKS
O. A. Izotova, D. S. Lavrova
Annotation: The paper 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 implementation of a proprietary graph neural network model capable of detecting
fake posts is presented, and the results of experimental studies demonstrating the effectiveness of using graph neural networks to solve the problem are presented.
Keywords: Information Security, Graph Neural Networks, Fake Posts, Graph Model