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cs.DB2026
SAGA: Synthetic Agentic Graph Architecture for Temporal Benchmark Generation
Jiacheng Ding, Xiaofei Zhang
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 constr…
cs.DB2025
ChronoConnect: Tracking Pathways Along Highly Dynamic Vertices in Temporal Graphs
Jiacheng Ding, Cong Guo, Xiaofei Zhang
With the proliferation of temporal graph data, there is a growing demand for analyzing information propagation patterns during graph evolution. Existing graph analysis systems, mos…