Explore how Neo4j’s InfiniGraph unifies analytical and transactional data, removing ETL bottlenecks to power next-gen GenAI ...

In the wave of digital transformation, the construction of a knowledge base is often seen as a "nice-to-have". However, few are aware of the complex engineering and organizational pains behind it.

Understand the merits of large language models vs. small language models, and why knowledge graphs are the missing piece in ...

Firms that fail to shine light on their dark data risk ceding the high ground in insights and inviting risk exposures lurking ...

Indian Institute of Technology Madras (IIT Madras) is expanding the ‘AI For All’ courses to School Teachers of Kindergarten ...

While many professionals are still uploading raw PDFs and text files to their ChatGPT and Claude Projects, the top operators ...

Abstract: Robustness is paramount for ensuring the reliability of knowledge graph models in safety-sensitive applications. While recent research has delved into adversarial attacks on static knowledge ...

In today's rapidly evolving era of artificial intelligence, programmers are continuously exploring how to apply AI technology in practical scenarios. This article will delve into two important AI ...

This repository contains the code and resources for the paper CypherBench: Towards Precise Retrieval over Full-scale Modern Knowledge Graphs in the LLM Era by Yanlin Feng, Simone Papicchio, and ...

Abstract: Knowledge graph reasoning (KGR) seeks to infer new factual triples from existing knowledge graphs (KGs). Recent methods have unified transductive and inductive reasoning by learning ...

This project systematically evaluates different prompt designs for extracting structured knowledge graphs from unstructured business text. Rather than just checking format compliance, it validates ...