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 ...

These graphs include nodes for directories, files, classes, and functions and edges to capture relationships ... and RetrieveEntity to allow LLMs to explore the system step-by-step. The use of sparse ...

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 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, ...