Abstract: A method, a computer program product, and a system for non-obvious relationship detection. The method includes receiving a knowledge and inputting a first node and a second node from the knowledge graph into a twin neural network. The method also includes embedding the first node and the second node, aggregating neighborhood information and position information into the node embeddings. The method further includes concatenating the neighborhood information and the position information of the first node and the second node to produce a first output vector and a second output vector. The method also includes generating a final score by comparing the first output vector with the second output vector. The final score indicates a probability of a non-obvious relationship between the first node and the second node.

Abstract: The invention relates to an electronically detectable resonance label, in particular an RFID label, with a substrate made of plastic foil and with conductive surfaces on the front and rear of the substrate, with some of the conductive surfaces forming a capacitor in a mutual area of overlap, comprising a first capacitor plate on the front of the substrate and a second capacitor plate on the rear of the substrate. The capacitor plates are in the shape of elongated strips of uniform width along their entire length; with said strips overlapping only partially. The area of overlap is arranged at a distance from both ends of at least one capacitor plate. This provides the advantage that during the production process relative displacement of the capacitor plates can take place in two directions.