A GCN+Set2Set+MLP model trained on 80 Monte Carlo datasets predicts magnetization curves of quasi-1D Ising graphs, with test errors between E=0.045 and E=0.389.
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Graph Neural Network Approach to Predicting Magnetization in Quasi-One-Dimensional Ising Systems
A GCN+Set2Set+MLP model trained on 80 Monte Carlo datasets predicts magnetization curves of quasi-1D Ising graphs, with test errors between E=0.045 and E=0.389.