How can we generalise learning distributed representations of graphs?

no code implementations • 25 Sep 2019 • Paul M Scherer, Pietro Lio

We propose a general framework to construct unsupervised models capable of learning distributed representations of discrete structures such as graphs based on R-Convolution kernels and distributed semantics research.

Binary Classification Graph Classification +1