Practical Gremlin, the guide to @apachetinkerpop #graphdatabase opensource framework by @gfxman, just went past the 1000 commit mark and has a new edition #database #datascience #analytics #tutorial
RAPIDS cuGraph : multi-GPU PageRank - RAPIDS AI - Medium
.@NvidiaAI RAPIDS cuGraph #opensource library is on a mission to provide multi-GPU graph #analytics for billion/trillion scale graphs. Experimental results on release of a single-node multi-GPU version of PageRank: on average 80x faster than #ApacheSpark
A case for response time focused query processing by @olafhartig at #ISWC19 Rethinking optimization criteria for Web querying. Optimizing Query execution time is not the same as optimizing Query Response time #research #www #linkeddata #keynote
Sentiment Analysis on Twitter Data Using Neo4j and Google Cloud
In this blog post, we’re going to walk through designing a graph processing algorithm on top of Neo4j that discovers the influence and sentiment of tweets in your Twitter network.
"What are Links in Linked Open Data? A Characterization and Evaluation of Links between Knowledge Graphs on the Web."
"What are Links in Linked Open Data? A Characterization and Evaluation of Links between Knowledge Graphs on the Web."(Haller et al, 2019)https://t.co/wE8nEH0ugn pic.twitter.com/2q22ow6jB4— WikiResearch (@WikiResearch) October 10, 2019
Apache Tinkerpop rocks DataStax support for Gremlin - Open Source Insider
Free @DataStax Academy course Getting Started w @apachetinkerpop & Gremlin. To be familiar with Gremlin traversal syntax & techniques, developers need to understand how the language works @ABridgwater @DeniseKGosnell #tutorial #softwaredevelopment
GREASE: A Generative Model for Relevance Search over Knowledge Graphs. (arXiv:1910.04927v1 [cs.IR])
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
British MP Voting Similarity Using Neo4J Graph Database
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 | Your Software . Your Structures . Your Rules
.@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
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
Kafka Graph Processing: Visual Stream Analytics with Neo4j
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.
(15) TinkerPop on Twitter: "Apache TinkerPop 3.4.3 Released. Avant-Gremlin Construction #3 for Theremin and Flowers https://t.co/XeZrz91d4V #graphdb #nosql https://t.co/lXmfraAYHi" / Twitter
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
Graph-based Planning, Monitoring and Reporting on project deliverables in the Kingdom of Jordan | Graphileon
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.
The Power of Graph Technology for Marketing Medicine - The New Stack
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.
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.