Overview:Discover leading multimodal AI models transforming productivity, software development, research, and enterprise ...

Abstract: Knowledge Graph (KG) as a structured knowledge representation often suffers from problems such as missing knowledge and knowledge errors, and needs to improve the completeness and accuracy ...

Large Language Models (LLMs) are transforming how users approach tasks related to searching, interacting with, and generating new content. These advanced language models have garnered immense ...

Meta has been one of the most interesting companies of the generative AI era — initially gaining a loyal and huge following of users for the release of its mostly open source Llama family of large ...

Precise path: vector/FTS5 search → community expansion → graph walk → PPR ranking Generalized path: query vector vs community summary embeddings → community members → PPR ranking Community summaries ...

Abstract: Deep Learning (DL) has revolutionized Knowledge Graph (KG) construction and reasoning in the recent past. The integration of DL models with KGs has shown potential to offer numerous benefits ...

Researchers affiliated with universities in China and Singapore have devised a technique to make stolen knowledge graph data useless if incorporated into a GraphRAG AI system without consent. Large ...

GraphGen is a framework for synthetic data generation guided by knowledge graphs. Please check the paper and best practice. It begins by constructing a fine-grained ...

The figure depicts the four-step，Graph-based Retrieval - Augmented Generation (RAG) process for the RSA - KG system, which aims to integrate multimodal data for RSA diagnosis and treatment. Recurrent ...