GraphNews

When developing web applications with frameworks like Vue.js the best approach is to subdivide it into well-defined and reusable components for the user...

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.

time recommendations.

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(Submitted on 21 Feb 2020) Abstract: Knowledge graphs have proven to be extremely useful in powering diverse

Graphcore CEO Nigel Toon discusses his company's computer processor and opportunities to disrupt the computer chip industry. He speaks with Bloomberg's Caroline Hyde on the sidelines of Bloomberg's Sooner Than You Think conference in London. (Source: Bloomberg)

Ontotext announces the release of GraphDB 9.0, open-sourcing GraphDB front-end and engine plugins to empower the developers of knowledge graph solutions

Ontotext releases GraphDB 9.2 featuring the anticipated support for RDF*/SPARQL* and improvements in the plug-ins for semantic similarity and versioning.

GraphDB 9.3: optimized support for arbitrary path length in SPARQL brings quicker discovery of relationships in knowledge graphs

Much of what Graph databases revolve around deals with classification. This alone can be quite challenging - learn more on the G DATA TechBlog!

2) from worldwide labs, the Graphen team, in conjunction with Columbia University, is able to align the genome of viruses, look for the canonical form of each gene location, and identify the exact variant(s) of a virus. Each virus has nearly 30k bases with each position represented by one of ATCG, the cDNA of virus. A virtual Canonical form sequence was determined independently in each position, not based on a single virus. In the Canonical form, the genomic length of a virus is 29,816. The letter of each position of the Canonical form was independently determined by the consensus of all sequenced viruses. Genome sequences need to be first aligned. The max position number after alignment is 30,532 which includes some head/tail/empty holes. After the canonical form is available, for each virus, we can then identify its exact variation in each position by comparing to the Canonical f

working individuals working overtime delivering groceries, people are taking on a role in supporting our society when we need it the most.These selfless people inspire us and we want them to know that we’re in this together. It’s time for us as a community to collaborate and do something positive.So — we invite you to join us and the global development community in an effort to unite our skills and bring some good to our world. ❤❤Let’s hack for good, together.Image source: CNN MoneyAbout Graphs4Good (GraphHack) 2020WHAT: any project that has a positive goal and can help others, qualifies. ❤WHERE: virtually, of course!

DataStax is the company behind the massively scalable, highly available, cloud-native NoSQL data platform built on Apache Cassandra™.

the task should accurately quantify the “distribution shift” in the data. Having precise control of this shift could allow us to understand the drawbacks of our learning methods, and build systems which can generalize over multiple tasks but still remember the old ones. Data distribution

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.

Graphs (not charts and pretty pictures) are an abstraction that was first used by Euler in 1736 to solve the now famous Konigsberg problem. This mathematical abstraction has been proven to be useful in several niche domains where complex networks (graphs are also known as networks) had to be analyze

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haystack discoveries that evade traditional analytic workflow.

A collection of RDF libraries for JavaScript

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

In the Summer of 2019, the term “Knowledge Graph” (KG) suddenly appeared in the Gartner Hype Cycle for Emerging Technologies, already close to the peak of inflated expectation. That was quite a surprise, as it did not exist at all in the previous year’s: it just popped up halfway to the top, as a relevant...

GUN is a distributed, offline-first, realtime graph database engine with built-in encryption.

We present a solution to learn URI selection criteria in order to improve the crawling of Linked Open Data by predicting their RDF-relevance. The prediction co…

introduction to Knowledge Graph embedding and quick tutorial on Constructing KG via OpenKE package

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?