and while of course there are common patterns in REST AP

market player step in wi

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

A Developer’s Log

Discover graph-powered COVID-19 projects, how Neo4j is supporting these efforts, and also learn how to get involved or receive support.

haystack discoveries that evade traditional analytic workflow.

A collection of RDF libraries for JavaScript

Given a set of business entities such as two merchants for financial services or two doctors for healthcare, how are they related? Do they have customers or patients in common and how is their relationship evolving over a period of time?

Using cutting-edge technology like Neo4j to understand new ways of working.

tech, Gunosy Ads, and the Gunosy Ad Network. The information curation service collects and distributes information sourced from the vast amount of information on the internet, filtered by specific criteria. Gunosy uses algorithms to collect and organize information to deliver the right information to the right people.” News Pass is a free applicatio

How I learned to stop worrying and love the graph database. A #graphdatabase is basically a database of connections. It’s the #technology that allows social networking sites like Facebook or LinkedIn to map connections between their users

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

Here's how Graph database technology from Amazon is helping Paysense do credit intelligence and risk assessment at scale. Amazon Neptune.

In this post we show you how to load the Bitcoin blockchain efficiently into a graph database in a single day.

In this episode of the ARCHITECHT Show, founder and CEO Emil Eifrem discusses the sustaining value of graph databases, more than a decade since the first release of Neo4j and terms like "social graph" and "knowledge graph" became commonplace. Eifrem also talks about the business of NoSQL and details the 5 factors -- focus, pervasiveness, ecosystem, data, vertical integration -- he believes can help infrastructure companies compete against similar offerings from large cloud providers. Before the Eifrem interview, host Derrick Harris speaks with founder and CEO Gleb Budman about his company's...

This article shows how an RDF Graph CRUD application can be rapidly developed, yet without losing the flexibility that HTML5/JavaScript offers, from which it can be concluded that there is no reason preventing the use of RDF Graphs as the backend for production-capable applications.

This VLDB'15 paper is authored by people from the Cosmos DB team and Microsoft research. The paper has "DocumentDB" in the title because Do...

The full sample can be found on Github : https://github.com/TimLariviere/Sample-FSharp-AzureCosmosDb

Among the Neo4j 3.4 database enhancements are horizontal scaling, 3D geospatial search, performance improvements of more than 50 percent and numerous operational improvements.

New software-as-a-service application automatically adds and removes query processing capacity to a database cluster as workload demand rises and falls, resulting in agility and responsiveness for end...

UC San Diego Professor to Spearhead TigerGraph’s Technical Innovation and Strategy for its Graph Analytics Platform

The graph database market size was valued at USD 700.0 Million in 2017 and is expected to reach USD 2,409.1 Million by 2023, at a Compound Annual Growth Rate (CAGR) of 24.0%.

The year of the graph is here. Do you really need a graph database, and, if yes, how do you choose one?