arxivcs.DBcs.AI2026-07-19
SAGA: Synthetic Agentic Graph Architecture for Temporal Benchmark Generation
High quality temporal graph benchmarks with rich semantics and ground-truth anomaly labels are essential for training graph neural networks, yet remain scarce due to privacy constraints and annotation costs. We present SAGA (Synthetic Agentic Graph Architecture), a system for gen…