Methods › Graphs › Graph Models › NN4G
Neural network for graphs
NN4G
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
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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