Everything you need to model real-world entities and their connections – making data exploration, analysis,
and insights a breeze across various applications.
Traditional fraud prevention measures focus on discrete data points such as specific accounts, individuals, devices or IP addresses. However, fraudsters today have sophisticated ways to get away with using collaborative efforts and synthetic identities. To uncover such fraud rings, it… Read more →
La Graph Data Science Library est une bibliothèque d’algorithmes orientés graphes intégrée à Neo4j. Elle comprend les algorithmes de centralité (ou d'importance), de détection de communautés, de recherche de chemins, de calcul de similarité et de prédiction de liens. Dans… Read more →
Project Covid Graph Building a Covid-19 Knowledge Graph with multiple stakeholders and graph database technology - Dr. Alexander Jarasch - Head of data and knowledge management bei German Center for Diabetes Research and Co-Founder CovidGraph - Stefan Wendin - Global… Read more →
The session will give an overview of the graph databases concepts and advantages in comparision to relational databases. We will also have some hands-on elements to show how practicioners can quickly and easily learn how to leverage the power of… Read more →
Join us to understand how you can use graph-native machine learning in Neo4j to make break-through predictions. Previously only accessible to researchers and a very few advanced tech companies, Neo4j has democratized graph-based ML techniques that leverage deep learning and… Read more →