Abstract: Graph representation learning is a fundamental research theme and can be generalized to benefit multiple downstream tasks from the node and link levels to the higher graph level. In practice ...

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 ...

http://localhost:18080/manus/chat?query=帮我将李白的《将进酒》全文写入到F:%2FTest目录下的将进酒.txt文件中 进行测试时，example ...

Numerical form-finding is an effective method for determining the equilibrium configurations of tensegrity structures. However, the connectivity matrix is required to be input as initial data in most ...

An audiogram can diagnose your hearing loss and indicate what type of hearing loss you have. It can distinguish your hearing in each ear and whether you have hearing loss on one or both sides. You can ...

A fundamental challenge in advancing AI research lies in developing systems that can autonomously perform structured reasoning and dynamically expand domain knowledge. Traditional AI models often rely ...

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 ...

School of Engineering, Institute of Computer Science, Intelligent Information Systems Research Group, Zurich University of Applied Sciences, Winterthur, Switzerland Many different methods for ...

ABSTRACT: This paper investigates the connections between ring theory, module theory, and graph theory through the graph G( R ) of a ring R. We establish that vertices of G( R ) correspond to modules, ...