Click to learn more about author Thomas Frisendal. Many of us have a lot to do. And we have short delivery cycles, sprints, and a lot of peers to share data models with. In search of something lightweight, which is quick and easy, and may be produced (or consumed) by other programs? Stay with us on a […]
London-based Memgraph raises over €8 million in seed funding to provide Streaming Graph Algorithms to the masses
Memgraph, the streaming graph application platform, today announced Memgraph 2.0, the public launch of its source-available platform, which makes it easy
Claudio Stamile on LinkedIn: #machinelearning #ai #datascience
When we talk about graph machine learning we always describe graph neural networks, node2vec, or graph2vec algorithms. Another popular approach to learning...
PathQL: Intelligently finding knowledge as a path through a maze of facts
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.
Why knowledge graphs are key to working with data efficiently, powerfully
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.
Devin Kreuzer on LinkedIn: Rethinking Graph Transformers with Spectral Attention | Researchers
Check out Dominique Beaini and myself presenting our paper 'Rethinking Graph Transformers with Spectral Attention'! Link to video: https://lnkd.in/eygEpjsQ...
Knowledge Graph Perspectives: building bridges from RDF to LPG
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...
Sergios Karagiannakos on LinkedIn: Best Graph Neural Network architectures: GCN, GAT, MPNN and more
I had a relatively hard time understanding Graph Neural Networks at first. Graph convolutional networks are based on graph spectral theory, which is not...
Claudio Stamile on LinkedIn: #machinelearning #ai #datascience
Machine Learning on Graphs: A Model and Comprehensive Taxonomy (https://lnkd.in/gASeEGRW) is an amazing paper that provides a taxonomy of the different...
Lalit Wadhwa on LinkedIn: #demandforecasting #timeseriesanalysis #graphs
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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Mike Dillinger, PhD on LinkedIn: As part of the Concordia 2021 Annual Summit, U.S. Special Presidential
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...
Kelvin Lawrence on LinkedIn: #machinelearning #datascience #ai
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...
Data Management Strategy Is More Strategic than You Think
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…
Is Google Really Indexing My Structured Data Markup?
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.
Giancarlo Guizzardi on LinkedIn: #ontology #ontologies #conceptualmodeling
The new tool ecosystem for conceptual modeling with OntoUML. The full paper can be found in https://lnkd.in/evNpjBya #ontology #ontologies #conceptualmodeling...
Michael Bronstein on LinkedIn: This Tuesday in the LoGaG reading group, we will have Giorgos Bouritsas
This Tuesday in the LoGaG reading group, we will have Giorgos Bouritsas from Imperial College London and Andreas Loukas from École polytechnique fédérale...
Graph Machine Learning becomes the basis for most of the industry problems with structured input.
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