Another way to interpret and communicate linear programming solutions is to use graphs that visualize the feasible region, the objective function, and the optimal solution. Graphs are especially ...

This paper proposes a new eXplanation framework, called OrphicX, for generating causal explanations for any graph neural networks (GNNs) based on learned latent causal factors. Specifically, we ...