A self-inductive pipeline (reinforcement learning plus symbolic regression) yields the formula d·s (degree × steady state) for identifying keystone nodes in networks with heterogeneous dynamics, along with refinements of existing topological centrality formulas.
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Advancing network resilience theories with symbolized reinforcement learning
A self-inductive pipeline (reinforcement learning plus symbolic regression) yields the formula d·s (degree × steady state) for identifying keystone nodes in networks with heterogeneous dynamics, along with refinements of existing topological centrality formulas.