AI RESEARCH
T-GINEE: A Tensor-Based Multilayer Graph Representation Learning
arXiv CS.LG
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ArXi:2605.28300v1 Announce Type: new Traditional network analysis focuses on single-layer networks, real-world systems often form multilayer networks with multiple relationship types. However, existing methods typically fail to capture complex inter-layer dependencies by treating layers independently or aggregating them. To address this, we propose T-GINEE (Tensor-Based Generalized Multilayer-graph Estimating Equation), a statistical regularization framework combining tensor-based generalized estimating equations with task-specific loss to model cross-network correlations explicitly.