We propose shifted inner-product similarity (SIPS), which is a novel yet very simple
extension of the ordinary inner-product similarity (IPS) for neural-network based graph …

This thesis discusses a neural network (NN)-based graph embedding and its extensions.
The NN-based graph embedding computes feature vectors for nodes of a graph, by …