#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

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

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

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

🎯 I bet you didn't know — how easy it is to engineer graph features and create a supervised machine learning model to predict fraud risk user accounts. Zach Blumenthal breaks it down for you here: #neo4j #GraphDataScience

💥 "Building a Recommendation Engine With a Neo4j GDS Machine Learning Pipeline" - Did you miss this live session? Take a look! #Neo4j #GraphDataScience #Machinelearning

Graphs are the natural way to understand connected data. Graph Algorithms for Data Science explores the most important graph algorithms and techniques with practical examples on implementation and deployment: @tb_tomaz #graphdb #GraphDataScience

Learn how to get started with the newly released Python client for Neo4j Graph Data Science, including the basic syntax #Python #GraphDataScience #Neo4j

Stream Data, Build Models, Deploy Apps and much more! All this with Memgraph! Check out how Memgraph works and for any questions, don't forget to join our @discord community - #streamingdata #graphdatascience #datascience

Using @Neo4j Graph Data Science to Understand and Improve Your Supply Chain Performance ⛓ #SupplyChainSolultions #Neo4j #GraphDataScience #Data

See how easy it is to engineer graph features and create a supervised machine learning model to predict fraud risk user accounts. Zach Blumenthal explains it all, here: #neo4j #GraphDataScience

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

Tutorial - Learn how to use Neo4j Graph Data Science in Python and improve your machine learning models 💯 with @tb_tomaz. #Neo4j #graphdatascience #Python #DataScience

🔥Tutorial: Understanding graph embeddings using Neo4j and Emblaze — with @nsmith_piano. #Neo4j #graphdatascience #DataScience #machinelearning

🤓 We’re launching Neo4j Data Importer (beta) — a no-code UI for loading flat file data into your Neo4j databases.  Watch the tutorial here: #neo4j #graphdatabase #graphdatascience

Today we’re announcing Neo4j AuraDS Enterprise! Benefits include:   ✅More scalability ✅Global availability ✅Secure access with SSO ✅24/7 premium support   Plus access a catalog of over 65+ pre-tuned algorithms. More: #GraphDataScience #Neo4j

We're analyzing Twitch streamers and their audiences. Do you use Twitch? #neo4j #graphdatascience #machinelearning

Neo4j for #GraphDataScience version 1.4 includes 3 new graph embedding options to calculate more accurate representations Learn more: #Neo4j #GraphDatabase #DataScience

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:

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