Authors

Florence Regol

Publications 2

Preprint Open access

Graph Anomaly Detection as Finite-Horizon Control: Training-Free Scoring via Empirical Bayes

Fred Xu, Thomas Markovich, Florence Regol et al. · 2026

Node-level graph anomaly detection (GAD) identifies nodes whose attributes and interactions deviate from dominant graph regularities. Existing GAD models encode normality and anomaly scoring indirectly through architectures, message passing, reconstruction or contrastive objectives, and tuned score families. This entan …

Preprint Open access

A Unified Uncertainty Representation for Graph Neural Networks via Doubly-Spectral Stochastic Expansion

Fred Xu, Thomas Markovich, Florence Regol et al. · 2026

Reliable deployment of graph neural networks requires calibration, out-of-distribution (OOD) detection, and robustness to distribution shift, yet existing methods address these needs with separate models and objectives. We model uncertain node embeddings as random graph signals: graph Fourier filters capture structural …

Co-authors

Fred Xu Thomas Markovich Yizhou Sun