A new algorithm opens the door for using artificial intelligence and machine learning to study the interactions that happen ...

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...

To facilitate understanding and analysis, the steady-state performance of the proposed GSP LMSGMCC algorithm is studied. Finally, the computer simulations are carried out to verify the superiority of ...

Aiming at the problem of sparse information distribution and lack of good correlation between data in the era of big data, this paper proposes a knowledge graph query and reasoning method based on ...

A modern, scalable API project built with Spring Boot and GraphQL, designed to demonstrate best practices for secure, maintainable, and extensible backend development. - ...

In this repository, I am currently pushing all the C++ code that I wrote while learning Data Structures and Algorithms (DSA). Feel free to explore the code examples and use them for your own learning ...

Protein redesign is an enzyme engineering strategy that enhances a template enzyme’s properties by introducing mutations. Although the method is broadly employed for enzyme design, finding optimal ...