A comprehensive, production-ready implementation of Graph Isomorphism Networks (GIN) for graph classification tasks. This project provides a clean, reproducible, and showcase-ready implementation with ...

ABSTRACT: To effectively evaluate a system that performs operations on UML class diagrams, it is essential to cover a large variety of different types of diagrams. The coverage of the diagram space ...

ABSTRACT: To effectively evaluate a system that performs operations on UML class diagrams, it is essential to cover a large variety of different types of diagrams. The coverage of the diagram space ...

Covid-19 broke the charts. Decades from now, the pandemic will be visible in the historical data of nearly anything measurable today: an unmistakable spike, dip or jolt that officially began for ...

While retrieval-augmented generation is effective for simpler queries, advanced reasoning questions require deeper connections between information that exist across documents. They require a knowledge ...

Group H( new Subgroup( S8, {{1,2,3,0,4,5,6,7},{0,1,2,3,5,6,7,4}} ) ); Group I( new Subgroup( S8, {{1,2,3,0,4,5,6,7},{0,1,2,3,5,6,7,4},{4,5,6,7,0,1,2,3}} ) ); ...

Given a pair of directed line graphs, the problem of ascertaining whether or not they are isomorphic is one for which no efficient algorithmic solution is known. Since a straightforward enumerative ...

There is a saying, somewhat applicable to our current circumstances, that is spoken only as a curse: "May you live in interesting times." Helldivers 2 is a triumph by most metrics, but it also happens ...

Abstract: Attributed graphs are widely used in many application domains, for example to model social networks. An attributed graph is a graph in which vertices and edges may have types and other ...

In-context learning (ICL) enables LLMs to adapt to new tasks by including a few examples directly in the input without updating their parameters. However, selecting appropriate in-context examples ...