Graph Models

Neural network for graphs

NN4G is based on a constructive feedforward architecture with state variables that uses neurons with no feedback connections. The neurons are applied to the input graphs by a general traversal process that relaxes the constraints of previous approaches derived by the causality assumption over hierarchical input data.

Description from: Neural network for graphs: a contextual constructive approach


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