Neo4j Graph Tech Weekly
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Fanghua (Joshua) Yu demonstrates a low code approach to combine Bloom – the graph visualization tool from Neo4j AuraDB – with open source intelligence platform OTX to enable more powerful visual threat investigations. Walk through the easy-to-follow instructions to do cyber threat investigation powered by graph visualization.
黄思行 presents solutions to common problems that occur when creating biological knowledge graphs. For data inconsistency, try label nodes and edges based on the Biolink model; and, for unwieldy datasets, there’s no-code SemSpect or Gemini apps that filter, aggregate, and summarize large amounts of graph data efficiently.
NODES SESSION:?Fundamentals of Neo4j Graph Data Science Series 2.x – Pipelines and More
Mats Rydberg shows you how to manage and transform your graphs, use machine learning pipelines, and make the best use of your trained models – all with a focus on the dedicated GDS #Python Client, which enables the data scientist to remain in a familiar environment without losing the strength of the Neo4j graph database in the backend.
BRINGING NEO4J TO THE CLOUD:?How to Deploy on Kubernetes
领英推荐
Deploy Neo4j on a #Kubernetes cluster with Helm charts. Follow the steps with Akash Jaiswal to clone charts, connect to a GKE cluster, and configure requirements for Neo4j on a Kubernetes cluster.
KNOWLEDGE GRAPH:?Wardley Mapping With Neo4j
Wardley Maps: what they are, where they are used, and why they are different from – and can be usefully analyzed in – graphs. In this blog, Alexander Erdl summarizes the full-length Wardley Mapping video he made with Tom Asel from Tangible Concepts.
NEW RELEASE:?What’s New in Hume 2.17?
Danica S. announces the release of Hume 2.17. Hume is an enterprise-level graph analytics solution that allows you to convert multiple distributed data sources into a knowledge graph.
NEW GRAPHACADEMY COURSE:?Cypher Aggregations
The new Cypher Aggregations course in Graph Academy’s Cypher Learning path is the subject of this article by Elaine Rosenberg. You’ll learn what aggregation is in Cypher and how it behaves at runtime. And you’ll run example code that uses the most widely-used aggregation functions in Cypher.