GNNs as Predictors of Agentic Workflow Performances

This work introduces FLORA-Bench, a large-scale benchmark to evaluate GNN-based predictors for automating and optimizing agentic workflows. It shows that Graph Neural Networks can efficiently predict the success of multi-agent LLM workflows, significantly reducing costly repeated model calls.