#graphdatascience

For all who want to get started with #GraphDataScience, here's the ⭐ Graph Data Science For Dummies, Second Edition book! ⭐ Make better predictions with graph analytics! Download for free here: #Neo4j #datascience

Informative & hilarious! Watch this talk by"Global Top 100 #Innovators in Data & Analytics 2022", Harry Powell @TigerGraphDB. 'A #Taxonomy Of Graph Analytics' is part of the #GraphDataScience series. Video: #GraphData #machinelearning #tech #techtalk

How to use Neo4j Graph Data Science and Python to capture key centrality and community metrics for supply chain analytics. #GraphDataScience #Python #SupplyChain

🏷️Deal of the Day🛒 Start making better decisions based on data by putting knowledge graphs into action: @AlessandroNegro @giuseppe_futia @VlastaKus #knowledgegraph #graphdatascience #GNN

⭐ Graph Data Science For Dummies, Second Edition⭐ If you want to get started with #GraphDataScience, this is the book for you.👐 Make better predictions with graph analytics! Download for free here: #Neo4j #datascience

Why do you need Graph Embeddings now? To translate your connected data – knowledge graphs, customer journeys, and transaction networks — into a predictive signal.  Read the guide💻 #GraphDataScience #DataScience #MachineLearning #Neo4j

⭐ Graph Data Science For Dummies, Second Edition⭐ If you want to get started with #GraphDataScience, this is the book for you.👐 Make better predictions with graph analytics! Download for free here: #Neo4j #datascience

For all who want to get started with #GraphDataScience, here's the ⭐ Graph Data Science For Dummies, Second Edition book! ⭐ Make better predictions with graph analytics! Download for free here: #Neo4j #datascience

Do you know the difference between graph analytics and graph data science? This is a fundamental question many people working in graph data science and graph analytics have likely encountered. Want to know the answer? Listen to @AJarasch! #GraphDataScience #Neo4j

Coming soon to Neo4j 5.0 — Autonomous Clustering — one ginormous cluster!   #Neo4j #GraphDataScience #GraphDatabase #SQL #GraphConnect

Senior Data Scientist Nathan Smith explains that research has confirmed what the data science community already knows from experience – influence flows through relationships and a graph provides the best model to use this technique on. #AskTheExperts #Neo4j #GraphDataScience

Why Is Graph Data Science a Good Technique for Pathfinding? @AJarasch answers the question in our "Ask a Data Scientist" series -- learn all about the fundamentals of #GraphDataScience  #Neo4j #Pathfinding

🕵 Graph algorithms for cybersecurity — see why security teams are overwhelmed with data via Liz Maida, Co-Founder & CEO, Uplevel Security. #neo4j #neo4jcommunity #GraphDataScience #CyberSecurity

We're still writing the Neo4j story -  and 2021 is the most exciting chapter so far!  Here's some of what we're most proud to share: #Neo4j #GraphDatabase #GraphDataScience

Tutorial - Fraud Detection. Exploring the graph for potential fraud patterns — with Zach Blumenfeld, #neo4j #graphdatascience #datascience #machinelearning #FraudDetection

Every Thursday we'll share an inspirational talk on #GraphDataScience. 1st talk: 'Hardware Accelerated Graph Analytics' by Michael Shaler @TigerGraphDB & Kumar Deepak @AMD. Full video: #GraphDatabases #KnowledgeGraphs #fraud #supplychain #Machinelearning

Do you want to learn about Graph Data Science? Read ´The 5 Graph Data Science Basics Everyone Should Know´ ebook and discover the fundamentals of graph data science. #GraphDataScience #Neo4j #ebook

More #GraphDataScience knowledge for you! @Oracle's Spatial & #GraphDatabase Architect, 'Souri' Das presents a talk on '#NAPT in Graph Queries' (#RDFdata + #propertygraph query languages: #SPARQL, #SQL, #PGQ...) Full video recorded at #KGC22:

I am one with the graph, and the graph is with me! Tutorial of the new Neo4j Graph Data Science library using the Star Wars network. Follow 👉 @tb_tomaz #Neo4j #GraphDataScience #DataScience #MachineLearning #MayThe4thBeWithYou #StarWarsDay

That graph embeddings are a mathematical representation of your local network. The embeddings play a significant role in machine learning pipelines, whether you're using them inside or outside of #Neo4j. @AJarasch #GraphDataScience #AskADataScientist