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This paper introduces the Swarm-Inspired Emergent Synchronizer (SIES), a graph-dynamical framework that learns generalizable local interaction rules for controllable collective organization, applicable to synchronization control and heterophilous graph representation learning.
This article explores the mechanisms behind the coordinated movement of flocking birds and schools of fish, discussing the principles of collective behavior.