Graph neural networks are compiled into or connected to relational Bayesian networks, enabling MAP-based collective classification and multi-objective optimization on graphs.
Semantic Probabilistic Layers for Neuro-Symbolic Learning
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A Neuro-Symbolic Approach for Probabilistic Reasoning on Graph Data
Graph neural networks are compiled into or connected to relational Bayesian networks, enabling MAP-based collective classification and multi-objective optimization on graphs.