We have a knack for finding the power of relationships! This week, we look at the transformative influence of knowledge graphs in medical research and crime investigations. Enjoy the article demonstrating the Viterbi algorithm in Neo4j and improve your analytical reasoning to Sherlock Holmes and beyond.
For fun and inspiration, I invite you to check Michael’s tweet on π day, where he visualizes the first 10k digits of π with a #neo4j graph.
FEATURED COMMUNITY MEMBER: Michal Štefaňák
ARTICLE: Hidden Markov Model with Neo4jThe Hidden Markov Model is widely used in many areas, from language processing to bioinformatics, from physics to finance. Sixing Huang explains how Neo4j makes it easy for us to interactively inspect internal state values.
COMPREHENSIVE GUIDE: Cypher Map ProjectionEstelle Scifo explains Cypher map projection and how to customize the return fields for each query. Your Cypher result is a ready-to-use JSON object for GraphQL or Object-Graph mapping applications.
TRAINING SERIES: Full Stack GraphQL in the Cloud
KNOWLEDGE GRAPH: Improve Crime InvestigationsAlex Law demonstrates in her blog how graphs empower digital investigations through visualization, starting with Neo4j’s pre-built sandbox and its underlying POLE (Person, Object, Location, Event) data model.
A KNOWLEDGE GRAPH: The Latest Medical Research Using Spark NLPThe biomedical domain is a prime example of finding connections and relationships between various entities like genes, drugs, diseases, and more. Tomaz Bratanic creates a biomedical knowledge graph by utilizing NLP techniques to extract relationships from biomedical articles.
TWEET OF THE WEEK: @foojayioDon’t forget to retweet if you like it!
Mash up articles are always great, combining the best of multiple technologies. Today on https://t.co/zeggXEOtb9, @simas_ch explains a scenario combining @vaadin and @neo4j. Check it out: https://t.co/9MjzsoFklr pic.twitter.com/WttQlNu9bS— Foojay.io (@foojayio) March 16, 2022
WHAT ELSE IS GOING ON?
You can still participate in our Neo4j Developer Survey. It only takes a few minutes.
Don’t miss the weekly video in the Bite-Sized Neo4j for Data Scientists series. Clair Sullivan presents a four-part series to help with your Kaggle competition graph. Her last video is about using KNN to identify similar items.