A new artificial intelligence (AI) method called BioPathNet helps researchers systematically search large biological data ...

Abstract: This paper investigates a GraphRAG framework that integrates knowledge graphs into the Retrieval-Augmented Generation (RAG) architecture to enhance networking applications. While RAG has ...

Abstract: Cross-subject EEG emotion recognition suffers a major setback due to high inter-subject variability in emotional responses. Many prior studies have endeavored to alleviate the inter-subject ...

This is a PyTorch implementation of the GraphCTA algorithm, which tries to address the domain adaptation problem without accessing the labelled source graph. It performs model adaptation and graph ...

Photoshop tutorial for versions CS 6 and later, showing how to create the high-contrast, unique saturated color-look of lomographic photos. Get 15% off BORIS FX OPTICS! - The BEST special effects plug ...

Graphs are a ubiquitous data structure and a universal language for representing objects and complex interactions. They can model a wide range of real-world systems, such as social networks, chemical ...

A new intelligent fault diagnosis framework for CNC systems, based on LLMS and KG, has been proposed by researchers from Huazhong University of Science and Technology, Center for Strategic Studies of ...

If you’re like me, you’ve heard plenty of talk about entity SEO and knowledge graphs over the past year. But when it comes to implementation, it’s not always clear which components are worth the ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. In this episode, Thomas Betts chats with ...

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