GraphNews

Check out the new features in the Neo4j graph data science library v1.6, including improved graph embeddings and better supervised ML pipelines.

In this contributed article, editorial consultant Jelani Harper discusses The how increasing reliance on knowledge graphs parallels that of Artificial [...]

A collection of important graph embedding, classification and representation learning papers with implementations. - benedekrozemberczki/awesome-graph-classification

Microsoft's annual developer event, Build, introduces no revolutionary changes on the data and analytics front, but there's a long manifest of new evolutionary features and service tiers.

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[vc_row type=”in_container” full_screen_row_position=”middle” scene_position=”center” text_color=”dark” text_align=”left” overlay_strength=”0.3″ shape_divider_position=”bottom”][vc_column column_padding=”no-extra-padding” column_padding_position=”all” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_shadow=”none” column_border_radius=”none” width=”1/1″ tablet_text_alignment=”default” phone_text_alignment=”default” column_border_width=”none” column_border_style=”solid”][vc_column_text]What Is Ethical AI? Ethical, or responsible, artificial intelligence (AI), “is the...

A community reveals the features and connections of its members that are different from those in other communities in a network. Detecting communities is of great significance in network analysis....

I have been working on Awesome Graph Classification for years. It is a collection of ML techniques that solve graph classification problems: kernels, statistical...

This series summarizes a comprehensive taxonomy for machine learning on graphs and reports details on GraphEDM (Chami et. al), a new framework for unifying different learning approaches. Graphs are…

This blog discusses SHACL capabilities and advantages of modeling in SHACL. It also debunks some myths about SHACL's shortcomings.

This blog discusses why, after being a strong supporter of using OWL, I no longer use it and had completely abandoned it in favor of SHACL.

In the world of asset management, data exchange is a big thing. Modelling the underlying information is a central tenet in Building Information Modelling (BIM).

I plan to add this quote to a slide someday: "“Linked Data” is a broad marketing euphemism for RDF that emphasises some but not all of its strengths, such as the ease of data merging across loosely coupled systems. But it is not a technical term or a W3C standard as such."

@aaranged @JayGray0919 @bobdc @libbymiller @linkedktk @Anastas81377670 https://t.co/ooIuC1elTy can be annoying to consume so more tooling like @Anastas81377670 ‘s work on https://t.co/uUJHzs84vL (integrates opensource parsing + shape validation tools with a friendly API) is needed for developers as well as publishers.

In recent years, knowledge graphs have been widely applied to organize data in a uniform way and enhance many tasks that require knowledge, for example, online shopping which has greatly...

Last year, we announced the general availability of the Azure Digital Twins platform. The associated open modeling language, Digital Twins Definition Language (DTDL), is a blank canvas which can model any entity. It is therefore important to provide common domain-specific ontologies to bootstrap sol...

"Excelling at chess has long been considered a symbol of more general intelligence. That is an incorrect assumption in my view, as pleasant as it might be." Garry Kasparov

OpenActive is a community-led initiative in the sport and physical activity sector in England. It’s goal is to help to get people healthier and more active by making its easier for people to …

As part of work to convert plain JSON records to proper RDF in JSON-LD I often want to convert a string value to a URI that identifies a thing (real world concrete thing or a concept). Simple string to URI mapping Given a fragment of a schedule in JSON {"day": "Tuesday"} As well as converting … Continue reading Strings to things in context →

Play detective on Reddit: Discover political disinformation campaigns, secret influencers and morehttps://t.co/J6kYL6TM2w#api #social #data #socialMedia #database #reddit #politics #etl #analytics #neo4j #graph #analysis #socialNetwork #network #graphDatabase #etl #graphdb pic.twitter.com/KjXAQMJbHI— Luc Michalski (@lucmichalski) May 8, 2021

Can anyone tell me about existing projects that pull RDF as JSON-LD (especially https://t.co/Rxky83WuLZ data) from web pages and then do things with it?

Heard of Notion.so? Most people can't quite put their finger on what makes this popular collaborative workspace different than other tools they've used... 13 comments on LinkedIn

By now, if you’ve been following this series, you may have learned a bit about graph theory, why we care about graph structured data in data science, and what the heck a “Graph Convolutional Network”…

Using neural networks, the site is able to find images—and ads—that will catch the consumer’s eye.

Taxonomies are crucial for businesses and institutions to handle bigger amounts of data. Manually organizing thousands of concepts into a knowledge tree has so far been the only way to do this. Aside

Posted by Siamak Shakeri, Staff Software Engineer and Oshin Agarwal, Research Intern, Google Research Large pre-trained natural language...

Causaly, the London-based company that allows researchers and specialists to intuitively map and navigate the intricate landscape of biomedical research, has raised $17 million from investors to grow its team and expand into new markets.

GraphQL is a query language for APIs. The APIs that provide a GraphQL interface to query data are called GraphQL APIs. They provide an easy-to-use interface to query data from different sources in a single API call.

Graph Theory in Machine Learning, and How it’s Changed the Game

We are thrilled to announce that Causaly has completed a new financing round of $17m