Introduces graph-to-image prediction of per-node dynamic stability landscapes in oscillator networks from topology, releases two 10k-graph datasets, and shows GNN-CNN models achieve good accuracy with cross-size generalization.
and Schaub, Michael T
3 Pith papers cite this work. Polarity classification is still indexing.
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2026 3verdicts
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Bayes-THIS applies sparse Bayesian regression with automatic relevance determination to infer hypergraph structure from dynamical data and proves that Taylor expansions create indistinguishable spurious pairwise terms when higher-order interactions concentrate on nodes lacking lower-order links.
The authors establish consistent and asymptotically normal estimators for parameters in composite birth-death processes via conditional likelihood under a Doob h-transform, plus a test for higher-order mechanisms.
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Likelihood-based inference for birth-death processes with composite birth mechanisms
The authors establish consistent and asymptotically normal estimators for parameters in composite birth-death processes via conditional likelihood under a Doob h-transform, plus a test for higher-order mechanisms.