The next wave of competitive advantage for ISVs is grounded in how well you manage interconnected data with graph-powered AI.

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

Global Data & AI Virtual Tech Conference (GDAI 2025), the biggest virtual tech conference organized by DataGlobal Hub, was concluded with resounding success, uniting participants from various ...

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 ...

To develop the tutorial code, I referred to the repository of the MARS dataset used in the paper: [GitHub] First, as instructed in the README of the MARS repository ...

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 ...

The graph database market, driven by AI, is growing at a rate of almost 25% annually. Graph databases support knowledge graphs, providing visual guidance for AI development. There are multiple ...

Abstract: In the field of network security, the ability to build an effective knowledge graph is of paramount importance to understand the nature of attacks, recognize potential vulnerabilities, and ...

Google’s Knowledge Graph saw its largest contraction in a decade in June: a two-stage, one-week drop of 6.26% – over 3 billion entities deleted. Since 2015, we’ve tracked the Knowledge Graph and have ...