Social Robot Recognition Based on E-GraphCTAGE Model: Integration of Facial Expression And Multi-feature Processing

The number of social bots on online social networks has increased significantly. Although social media platforms and researchers have taken some measures to address this issue, most of the methods have not focused on the relationships in social networks. The popular undirected graphs used in current times not only fail to express the diverse relationships between users, but are also limited by the single neighbor relationship. This paper presents a new graph model called E-GraphRTAGE, which can process different types of user relationships while not neglecting the role of its own nodes in the relationship. Additionally, it expands the scope of graph models by incorporating CNN's convolutional kernels, no longer focusing solely on neighboring nodes but also paying attention to distant nodes or nodes at a greater distance. We input the Twi-bot20 dataset into our model for social bot detection and achieved good results.