Author

Andrea Passerini

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Collective Node Classification through Neuro-Symbolic Integration

This work uses a recently introduced neuro-symbolic framework, to embed a standard GNN into a Relational Bayesian Network (RBN), enabling maximum a-posteriori (MAP) inference that jointly optimises node labels to match the observed local homophily structure of a graph.

Raffaele Pojer, Andrea Passerini, Kim G. Larsen et al. · 0 citations