Figure 2
From: A review of some techniques for inclusion of domain-knowledge into deep neural networks
The plots from6 showing gains in predictive accuracy of (a) multilayer perceptron (MLP), and (b) graph neural network (GNN) with the inclusion of domain-knowledge. The domain knowledge inclusion method in (a) is a simple technique known as ‘propositionalisation’ 7; and, the method in (b) is a general technique of incorporating domain-knowledge using bottom-graph construction. The results shown are over 70 datasets. No importance to be given to the line joining two points; this is done for visualisation purpose only.
