ProPEX-RAG is a prompt-driven, entity-guided RAG framework that emphasizes the role of prompt design in improving retrieval and reasoning across large knowledge graphs. Our approach unifies symbolic ...
Chinese and Singaporean researchers have developed a defense mechanism that poisons proprietary knowledge graph data, making ...
In their research paper, titled Making Theft Useless: Adulteration-Based Protection of Proprietary Knowledge Graphs in ...
For hackers, the stolen data would be useless, but authorized users would have a secret key that filters out the fake ...
Researchers affiliated with universities in China and Singapore have devised a technique to make stolen knowledge graph data ...
As for the AI bubble, it is coming up for conversation because it is now having a material effect on the economy at large.
Abstract: Knowledge graph construction is aimed at storing and representing the knowledge of the objective world in a structured form. Existing methods for automatic construction of knowledge graphs ...
In 2026, contextual memory will no longer be a novel technique; it will become table stakes for many operational agentic AI ...
You’re investing too much to get the basics wrong. Here’s what architecture, infrastructure, and networking look like when ...
An intelligent Financial Analysis system that combines Knowledge Graphs with Large Language Models using GraphRAG (Graph Retrieval-Augmented Generation) to answer complex financial queries with ...
Abstract: Aiming at the problems of knowledge fragmentation, insufficient processing capability of multisource heterogeneous data, and inefficient inference of complex failure modes that exist in ...
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