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Using open data to make your own graph…

🔎🔬🔍 Improve your knowledge graph with GRAPE! 🦟🦠🪲 You may not be aware, but KGs can have topological oddities affecting your analysis and modelling…

Critical steps in improving the productivity of enterprise note-taking

Knowledge Graph Costs I just finished my primary research for a new paper on the costs and obstacles of adopting knowledge graph. The three themes that… | 10 comments on LinkedIn

To use this feature, you just need to add 'with("Neptune#ml.inductiveInference")' to your Gremlin query with Amazon Neptune. Happy graphing, folks!...

RDFox v6.0 is here and it’s a big one! This release is landmarked by ground-breaking features including the new high availability setup and a total reimagining of the handling of named graphs. These features alone offer the opportunity for truly cutting-edge solutions, but when combined with the myriad of other improvements and the blistering capabilities of RDFox already in place, they allow you to step ahead of the curve. | 6 min read | Nov 29, 2022

Is Denoising Diffusion all you need?

Our most recent edition of the G-Research Distinguished Speaker Series took place at the Royal College of Physicians in Central London. Our featured speaker, Amy Hodler, is a graph evangelist, network science expert, and co-author of 'Graph Algorithms'. In her talk 'Average is a Lie - Using Graph Analytics to Improve Predictions', Amy discusses a range of topics, including: Graph queries Graph algorithms Relationships and structures in data Predicting behavioural change Machine learning Graph embedding Link prediction Data lineage Financial contagion Use of graph analytics in security Learn more about G-Research (https://www.gresearch.co.uk/) and view talks from speakers such as Professor Sir Martin Hairer and Wes McKinney in our Distinguished Speaker Series playlist. Interested in attending a future Distinguished Speaker Series event? Register your interest here now: https://events.beamery.com/gresearch/all-dss-events-mntauiaxr

#AI needs #KnowledgeGraphs to represent the physical world! See why AI needs @KnowledgeGraph for autonomous cars, for robotics, for smart homes and more...

And in the serendipitous discovery category today we have Google Cloud's "Enterprise Knowledge Graph", seemingly soft-launched a few days ago…

With the mission of building the most user-friendly graph-as-a-service that unlocks smarter insights for all, our product and engineering teams at TigerGraph have been working hard to elevate TigerGraph Cloud to the next level of ease-of-use and enterprise readiness.

The most common way to find answers on the Internet is to enter keywords in a web search engine (Google, Yandex, etc) and browse the returned results. However, in some cases the user is looking for a…

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How to invert the data integration problem within your organisation

Success stories, shared at Ontotext’s KGF22, about building knowledge graphs in Industry, Healthcare, Life Sciences, Financials

This post by Michael Atkin is designed to demystify semantic standards and knowledge graphs for executive stakeholders

Graph neural networks (GNNs) have emerged as one of the leading solutions for ML applications. Most real-world data can be represented as graphs - see this blog for a comprehensive overview of what use cases are best solved with GNNs and their key advantages.

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Brands invest heavily in content. Knowledge graphs make this actionable, improving resources and providing deeper insights.

The analytics workflow is broken. Every time analysts have a new question, they must submit a request to the data engineering team to add a new column to a… | 249 comments on LinkedIn

Congratulations to @TigerGraphDB on being the first to successfully pass an LDBC SNB Business Intelligence workload audit on scale factor 1000. Their setup used the @AMD EPYC 9354 (Genoa) CPUs announced today. The results are available on the LDBC website.https://t.co/X3QocaTsRR pic.twitter.com/3F3J56wa96— Linked Data Benchmark Council (@LDBCouncil) November 10, 2022

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Learn how to boost your website's performance with semantic annotation by reading Poem Analysis case study.

This blog post was on the front page of Hacker News for a day — Link It’s been almost nine months since I left Dgraph Labs, a company that I spent

Powering biomedical search with Neo4j.

Let Andreas Blumauer, CEO of the Semantic Web Company, introduce you to a Graph-based Semantic Layer in Enterprises. Read more!

Should we all be making a Knowlege Graph part of our organisation's AI strategy? The ICLR is now recognised as one of the top conferences in deep learning… | 11 comments on LinkedIn

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