Machine Learning, Computational Graphs, Generative Adversarial, Deep Learning.
multivariate function on each of the nodes, S = {f(1),…, f(i),…,f(N)}. The typical number of dimensions of an embedding is in the range of [100,1000]. We managed to theoretically derive a set of 1-dimensional node embeddings that reflects the topological features of graphs, as opposed to the O(100)