T-GINEE combines CP tensor decomposition with a generalized estimating equation framework and task-specific loss to explicitly model inter-layer correlations in multilayer graphs while providing consistency and asymptotic normality guarantees under mild conditions.
Y., Medvedovic, M., and Bumgarner, R
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T-GINEE: A Tensor-Based Multilayer Graph Representation Learning
T-GINEE combines CP tensor decomposition with a generalized estimating equation framework and task-specific loss to explicitly model inter-layer correlations in multilayer graphs while providing consistency and asymptotic normality guarantees under mild conditions.