Relevance search is to find top-ranked entities in a #knowledgegraph that are relevant to a query entity. #Research paper on novel generative model over #knowledgegraphs for relevance search, named GREASE

The Hype Around #KnowledgeGraphs @DavidClarkeBlog @Synaptica, including paraphrases of notable knowledge graph definitions #connecteddata h/t @aaranged https://t.co/qdf89loxvW?amp=1

MP voting records are public record in the UK, detailed #data is available about how each MP has voted in each bill @PublicWhip collect data & make it accessible @joshua_e_k explores how to use a #GraphDatabase to look at MP’s voting record similarity

.@jQAssistant is a #QA tool which allows definition & validation of project specific rules on a structural level. Built upon #Neo4j #graphdatabase, can be plugged into build process. Now w/ #PlantUML class diagrams #dataviz #softwareengineering

Graph databases are shaped the way we think, so why can't people get their heads around them?

GPU->Rapids->Cugraph->Scalable Graph Analytics

Those interested in a comprehensive overview of the current status of Linked Data Integration (at large scale) can read our ACM Computing Surveys (!) article. Preprint: https://t.co/uwGeGcm1UHCongrats @mountantonakis #LinkedData #RDF, #Integration #KnowledgeGraphs pic.twitter.com/NyN4XJIAYo— Yannis Tzitzikas (@YTzitzikas) September 16, 2019

Albert Einstein once said “Imagination is more important than knowledge. Knowledge is limited; imagination encircles the world.” While…

Tamara Louie | Data Scientist, Discovery

Visualize Kafka Streams with Neo4j by taking any data, turning it into a graph, leveraging graph processing, and piping the results back to Apache Kafka, adding visualizations to your event streaming applications.

Your one-stop introduction to the world of graph tech.

Eileen Li | Software Engineer, Knowledge

A look at why graphs improve predictions and how to create a workflow to use them with existing machine learning tasks.

Read latest news about Reltio Connected Customer 360. Connected customer data at the heart of customer experience.

3 ways that #DataVisualization will advance and impact users (including Knowledge Graphs): https://t.co/3XELwiVDDJ——————#BigData #DataScience #DataViz #VisualAnalytics #AnalyticsStrategy #DataStorytelling #KnowledgeGraphs #abdsc pic.twitter.com/N43Wx3APs2— Kirk Borne (@KirkDBorne) August 9, 2019

Apache TinkerPop 3.4.3 Released. Avant-Gremlin Construction #3 for Theremin and Flowers https://t.co/XeZrz91d4V #graphdb #nosql pic.twitter.com/lXmfraAYHi— TinkerPop (@apachetinkerpop) August 12, 2019

Graphileon joins CovidGraph, an initiative of graph enthusiasts and companies with the goal to build a knowledge graph with relevant information about the COVID-19 virus.

Because Graph Analytics is the future

A project on optical graph recognition with OpenCV and yFiles WPF.

For more complex products such as new pharmaceutical drugs, medical equipment or healthcare treatments, identifying hubs of influencers among physicians and other healthcare providers requires deep analysis of patient claims data to uncover the referral relationships.

Call records analysis with graph visualization.

How can companies step themselves into the world of graph databases? Neo4j thinks it has an answer. It has been offering a Startup Program for startups with 19 employees or fewer; more than 650 startups with fewer than 20 employees took advantage of having free access to Neo4j Enterprise clusters.

The vision of RAPIDS cuGraph is to make graph analysis ubiquitous to the point that users just think in terms of analysis and not…

.@DDIAlliance releases XKOS v1.2 (Extended Knowledge Organization System) specification →facilitates sharing & management of statistical classifications.(For building #Semantic Taxonomies to tag Datasets & #DataScience outputs)https://t.co/HZD1nl5Nu0#BigData #Ontologies #RDF pic.twitter.com/DDYbHqCvm7— Kirk Borne (@KirkDBorne) June 21, 2019

Practical Gremlin is now updated to cover most of the new features added in TinkerPop. As always it remains a work in progress. More details here https://t.co/xShCVkCnaF @apachetinkerpop #graphdb— Kelvin Lawrence (@gfxman) July 15, 2019

CSV2RDF 2.0 released! https://t.co/2lyYzOJ6fQCSV2RDF is a streaming, transforming, #SPARQL-based #CSV to #RDF converter -now with named arguments (shout-out to @picocli) and a Docker image: https://t.co/BU9uoGXmIc— AtomGraph (@atomgraphhq) July 2, 2019

When building graph data models we frequently have to deal with a degree of polymorphism for our entities just like the real world. For instance – I’m a person, but I’m also a parent, a spouse, a sibling, a child, a… Implicit categorisation Sometimes the entity categories are entirely defined by relationships to other entities. […]

Read the first installment of this blog series on artificial intelligence on the ways graph technology adds necessary context for powerful AI solutions.