GraphNews

A kind of cognitive framework called graph thinking is circulating through the KGC community. So let’s explore this notion. Also, let’s…

Let’s analyze what is the best data model/structure for our data application. Finishing with the Graph model (NoSQL plus a bit of…

I would suggest that Google does not have its own intelligence. If I search for, say, ‘Arnold Schwarzenegger and Harvard’, Google will only suggest documents that contain BOTH Arnold Schwarzenegger and Harvard.

This pattern-driven visualization technique was presented at the Power BI Bootcamp in July 2021. The Bootcamp session walked through the…

Knowledge graphs help in organizing unstructured data in a way that information can easily be extracted where explicit relations between multiple entities help in the process.

Check out Dominique Beaini and myself presenting our paper 'Rethinking Graph Transformers with Spectral Attention'! Link to video: https://lnkd.in/eygEpjsQ...

Knowledge Graphs (KGs) have become one of the most powerful tools for modeling the relations between entities in various fields, from biotech to e-comme...

I had a relatively hard time understanding Graph Neural Networks at first. Graph convolutional networks are based on graph spectral theory, which is not...

Machine Learning on Graphs: A Model and Comprehensive Taxonomy (https://lnkd.in/gASeEGRW) is an amazing paper that provides a taxonomy of the different...

Most demand forecasting algorithms are based on past consumption / offer pricing / safety stock etc. attributes. These algorithms do not fully model real-world...

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Understanding the building blocks and design choices of graph neural networks.

As part of the Concordia 2021 Annual Summit, U.S. Special Presidential Envoy for Climate John Kerry sits down with LinkedIn CEO Ryan Roslansky and Vice...

Very glad to announce that our paper on scalable graph neural networks for dynamic graphs has been accepted by the top conference in the supercomputing...

I’ve recently been playing around with a JDK data set, and with the release of Java 17 today, I wanted to explore this data set in a graph…

Data management strategy is boring, right? More to the point, it’s a solved problem. The relational model, SQL, and data warehouses date to the 1980s. I mean, what could be less strategic than the “what,” “how,” and “why” of an enterprise data management strategy? Build some pipelines and ETL jobs. Define a relational schema to…

This might seem like a trivial question at first, but it's not. Before we can evaluate whether a particular markup is actually helping Google understand the content of a web page, we need to make sure that Google can crawl and index its markup.

The new tool ecosystem for conceptual modeling with OntoUML. The full paper can be found in https://lnkd.in/evNpjBya #ontology #ontologies #conceptualmodeling...

This Tuesday in the LoGaG reading group, we will have Giorgos Bouritsas from Imperial College London and Andreas Loukas from École polytechnique fédérale...

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This article discusses why benchmarking is important, as well as compare and contrasts Neo4j’s 100TB demo with TigerGraph.

Framework for zero-shot learning with knowledge graphs. - GitHub - BatsResearch/zsl-kg: Framework for zero-shot learning with knowledge graphs.

WikiGraphs: A Wikipedia Text - Knowledge Graph Paired Dataset Wang et al.: https://lnkd.in/dk8nCAjT #ArtificialIntelligence #DeepLearning #MachineLearning...

Criteo AI Lab is excited to be presenting Graph Machine Learning in Industry. Please join us on Thursday, September 23rd, at 17:00 Paris time. This page will be updated with video links after the workshop.

Keeping track of faculty research activities, using semantic data integration of public LOD sources combined into a single knowledge graph

The Data Exchange Podcast: Paco Nathan on recent trends in large-scale graph technologies and novel applications of graph databases.

What components are needed for building learning algorithms that leverage the structure and properties of graphs?