arXiv (All)
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Learning structural balance of graphs from quantum spectral features
disordered-systems-and-neural-networksmachine-learningquantum-physicssocial-and-information-networks
We develop a quantum approach to spectral feature extraction from the density of states (DOS) of a problem-dependent Hamiltonian, and apply it to machine learning on signed graphs. We propose to embed a signed graph as an Ising model instance with positive and negative interactions, and use the stan
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