Graph #Analytics Market Worth $2,522 Million by 2024. Major factors fueling market growth: demand to analyze low-latency queries, integration of #AI #IoT #technologies, ability to uncover relationships in #data in #realtime #business #data #research

Graphs are common #data structures to represent #connecteddata. To use graphs with #deeplearning, we use graph embeddings, a low dimension representations which helps generalize input data. Node2Vec aims to preserve network neighborhoods #datascience #AI

Updates on #knowledgegraphs affect services built on top of them. But not all changes are the same: some updates drastically change the result of operations based on knowledge graph content; others do not lead to any variation #research #award #iswc_conf

Managing multiple truths in #datamodeling, #ontologies & #knowledgegraphs by @palexop #semantics #vagueness #datascience #dataengineering #EmergingTech #dmzone #presentation

#schema.org 5.0 is out. No additions to core, but vocabulary for classification of #healthcare topics for more real estate properties in development. New releases on 1st of month, changes in "Pending" section #SEO #semantics #Google h/t @danbri @aaranged

Graphs #Analytics for Fraud Detection, using Graph #NeuralNetworks for Anomaly detection. GraphSAGE is Stanford #opensource project: deep neural network-based NRL toolkit, implemented in Tensorflow, making it ideal to develop an anomaly detection system

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

.@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

Property graphs provide a lot of flexibility in data modeling; but how do you know when to use which feature?

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."(Haller et al, 2019)https://t.co/wE8nEH0ugn pic.twitter.com/2q22ow6jB4— WikiResearch (@WikiResearch) October 10, 2019

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

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