To address these challenges, we propose an innovative fault diagnosis method that integrates zero-shot learning (ZSL) with graph structures to extend diagnostic capabilities from seen to unseen faults ...

Abstract: In this paper, we study the generalization capabilities of geometric graph neural networks (GNNs). We consider GNNs over a geometric graph constructed from a finite set of randomly sampled ...

In some 190 pages it gives an account of the fundamental theorems dealing with almost periodic functions apart from some special problems connected with differential and difference equations.

Scientists have found that our bodies need 28 different elements to function properly. These are almost one-quarter of the periodic table and are mainly found in the first four periods.

Key features of linear graphs are: gradient or slope: Represents the steepness and direction of the line \(x\)- and \(y\)-axes intercepts: The points where the line crosses the \(x\)-axis and ...

This resource revises linear functions, graphs and equations and within linear functions, graphs and equations there are 3 key concepts: To determine if this resource will benefit you, start by ...

This repository hosts the open sources of the Neo4j Graph Data Science (GDS) library. The GDS library is a plugin for the Neo4j graph database. GDS comprises graph algorithms, graph transformations, ...