GraphNews

Ontotext has released GraphDB 9.7 that implements a major improvement in the memory management and a 30% reduction in the generated Java objects

Document Structure aware Relational Graph Convolutional Networks for Ontology Population https://t.co/y0Rb41yGOd pic.twitter.com/7ivt5R3vjn— Aaron Bradley (@aaranged) April 28, 2021

Knowledge graphs bring vital changes to connected inventories for financials and enable them to save much time and expenses

Google shows us how automated data wrappers may be used to extract entity information from web pages and make The knowledge graph better.

I recently purchased a new laptop one with enough speed and space to let me do any number of projects that my nearly four-year-old workhorse was just not equipped to handle.

Proud to share our 150-page "proto-book" with @mmbronstein @joanbruna @TacoCohen on geometric DL! Through the lens of symmetries and invariances, we attempt to distill "all you need to build the architectures that are all you need". https://t.co/CBN0IG8BXR More info below! 🧵 https://t.co/NBwmeuR1vV

We are excited to announce the launch of HealthECCO, a non-profit association that builds on the amazing work of the CovidGraph Project. The core CovidGraph Neo4j Graph, applications and community were built by a loose collection of volunteers, enthusiasts and organisations. Setting up HealthECCO will allow us to build a more robust operating environment for […]

SPARQL is a powerful language for working with RDF triples. However, SPARQL can also be difficult to work with, so much so that it often is not utilized anywhere near as often for its advanced capabilities, which include aggregating content, building URIs, and similar uses.

13 months ago we released a JavaScript based SHACL implementation for validating RDF. Today I'm happy to announce our version of the SHACL playground, implemented by our @zazukocom colleague @tpluscode 🚀100% client side in your browser, try it out here https://t.co/N7cWtG1LW0 pic.twitter.com/OuJUKkJfjG— Adrian Gschwend (@linkedktk) May 1, 2021

Introduction In part 1 of this blog series, we introduced The GA360 SQL Knowledge Graph that timbr has created, acting as a user-friendly strategic tool that shortens time to value.

Wikipedia citations: A comprehensive data set of #citations with identifiers extracted from English #Wikipedia.29.3 million citations was extracted from 6.1 million articles and classified as being books, journal articles, or Web content.https://t.co/vqqRJ31p6H pic.twitter.com/c6mVMuJw9j— Wikipedia Quality (@WikiQuality) May 4, 2021

Alan Morrison's answer: You’re not generating a graph as much as you are seeding, nurturing, harvesting and consuming one. You’re putting in place a cyclical, organic process to allow the graph to grow, become useful, evolve, thrive, and—ideally—marry up with other graphs, the combination of whic...

How simple structured data trumps clever machine learning

Posted by Jakub Łącki and Vahab Mirrokni, Research Scientists, Google Research Graphs are useful theoretical representations of the co...

Knowledge Graph Extension for Python - Team Project 2020 @ Uni Mannheim - om-hb/kgextension

When a new technology emerges, financial services firms often are among the first adopters. Anything that can provide banks, investment houses, or

We are proud to announce that Triply is going public, by giving away a limited number of free accounts for TriplyDB. This is the first time…

Why Question-Answering Engines? The search only for documents is outdated. Users who have already adopted a question-answering (QA) approach with their personal devices, e.

SpikeX - SpaCy Pipes for Knowledge Extraction • A collection of pipes ready to be plugged in a spaCy pipeline. It aims to help in building knowledge extraction...

We launched Stardog Free today, offering you the flexibility to explore Stardog for your project without commercial limitations. Check it out and enjoy...

This week SambaNova landed $676 million in Series D funding, making it the best-funded AI startup in the world. For many of my colleges…

Start with Graph Neural Networks from zero and implement a graph convolutional layer in Pytorch

For regular readers of the (lately somewhat irregularly published) The Cagle Report, I've finally managed to get my feet underneath me at Data Science Central, and am gearing up with a number of new initiatives, including a video interview program that I'm getting underway as soon as I can get the l

Nicole Buckenwolf use ontologies and taxonomies to organize the product information that you see at businesses like Amazon and Etsy.

SumGNN: multi-typed drug interaction prediction via efficient knowledge graph summarization • A subgraph extraction module that can efficiently anchor ...

In late November the U.S. Federal Drug Administration approved Benevolent AI’s recommended arthritis drug Baricitnib as a COVID-19…

Helpful juxtaposition of various modelling paradigms. Thoughtprovoking, too, when you look at the column to the right. Even though things seem to be in... 16 comments on LinkedIn

QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering - The problem of answering questions using knowledge from pre-trained...

Drivine - Graph Database Client for Node.js & TypeScript