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.
Geometric
2 Pith papers cite this work. Polarity classification is still indexing.
years
2026 2verdicts
UNVERDICTED 2representative citing papers
A block diagonal dominance criterion is proposed for decentralized small-signal stability of IBR-dominated power grids that is less conservative than strict diagonal dominance and guarantees a minimum decay rate without restrictive model assumptions.
citing papers explorer
-
Learning Dynamic Stability Landscapes in Synchronization Networks
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.
-
Decentralized Stability of IBR-dominated Power Grids Using Block Diagonal Dominance
A block diagonal dominance criterion is proposed for decentralized small-signal stability of IBR-dominated power grids that is less conservative than strict diagonal dominance and guarantees a minimum decay rate without restrictive model assumptions.