A Hybrid Two-Stage Framework for Twitter Bot Detection: Decoupling Graph Representation Learning and Classification
Graph-based Twitter bot detection models such as BotRGCN rely on end-to-end training that jointly optimizes graph representation learning and linear classification. This coupling creates a bottleneck: the GNN is constrained to produce linearly separable representations, and joint optimization restricts the classifier t...