Ranking Causal Anomalies via Temporal and Dynamical Analysis on Vanishing Correlations

This paper proposes a network diffusion based framework that can effectively model fault propagation over the entire invariant network, and can perform joint inference on both the structural, and the time-evolving broken invariance patterns and can locate high-confidence anomalies that are truly responsible for the vanishing correlations.