Your one-stop introduction to the world of graph tech.

IEEE Xplore, delivering full text access to the world's highest quality technical literature in engineering and technology. | IEEE Xplore

#ISWC2019 Reproducibility Initiative aims to enable easy sharing of code &experimentation setups, make more code & data available, highlight impact & increase credibility of #SemanticWeb #research, facilitate dissemination @michaelcochez @FrankVanHarmele

Graphs are a general-purpose #datamodel, as relational was a general-purpose #data model a generation ago. A supply chain is a graph. Knowledge is a graph. Graphs are very applicable in a wide range of use cases @jimwebber @TheRegister #GraphDB #tech [LINK]https://www.theregister.co.uk/2020/02/05/graph_database_neo4j_chief_scientist/ [LINK]https://regmedia.co.uk/2016/04/26/graph_database.jpg

Don’t ask what #GraphQL can do for the #SemanticWeb; ask what the SW can do for GraphQL, says @szymonklarman Perspective dominating analyses so far has been considering GraphQL an interface for #linkeddata. That's valid, but there's another way #research

Practical applications of Natural Language Processing (NLP) have gotten significantly cheaper, faster, and easier due to the transfer learning capabilities enabled by pre-trained language models. Transfer learning enables engineers to pre-train an NLP model on one large dataset and then quickly fine-tune the model to adapt to other NLP tasks. This new approach enables NLP […]

Big data, semantic searches, and real-time responses are the reason behind the growing demand for graph databases. This article talks about what a graph database is, why graph databases are popular, and why and when we should use a graph database.

Read latest news about Reltio Connected Customer 360. Connected customer data at the heart of customer experience.

Deep Learning 🤖 on graphs and in 3D

#Neo4j #GraphDB has added sharding @adamcowley shows when and how to use it #softwareengineering #data #tech #opensource #tutorial [LINK]https://adamcowley.co.uk/neo4j/sharding-neo4j-4.0/ [LINK]https://neo4j.com/docs/operations-manual/4.0-preview/images/fabric-single-instance.png

According to Reinforcement Knowledge Graph Reasoning for Explainable Recommendation

A critical distinction between machines and humans is the way in which we reason about the world: humans through high order semantic abstractions and machines through blind adherence to statistics.

Graph #software ability to uncover context makes #AI & #ML #apps more robust. That’s part of why between 2010-2018 #research mentioning graphs has risen 3X+: less than 1,000 -> over 3,750 @AmyHodler @computerweekly h/t @KirkDBorne #graphDB #datascience

yWorks’ submission to the Graph Drawing Contest 2018 in Barcelona, Spain

Our colleagues came up with a new way to analyze the complex research field of artificial intelligence