Machine Learning, Computational Graphs, Generative Adversarial, Deep Learning.
dimensional embeddings learned by machine learning algorithms. Under mild assumptions, the set of such 1-dimensional embeddings exists and is unique for each graph. Based on this theoretically derived embedding, we propose a method to generate smaller topological equivalent graphs for machine