GraphIDyOM is a validated graph-native Python reimplementation of IDyOM that reproduces Lisp reference outputs with mean information-content differences below 0.003 bits and exposes predictive memories as graphs.
Decoding the evolution of melodic and harmonic structure of western music through the lens of network science.Scientific Reports, 16(1):11121, 2026
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GraphIDyOM: A graph-native Python reimplementation of IDyOM for musical expectation modelling
GraphIDyOM is a validated graph-native Python reimplementation of IDyOM that reproduces Lisp reference outputs with mean information-content differences below 0.003 bits and exposes predictive memories as graphs.