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Introduction to Graph Neural Networks
Introduction to Graph Neural Networks
Want to catch up on Graph Neural Networks? Now's the time! Graph Neural Networks (GNNs) have become a popular solution for problems that include network data,…
Graph Neural Networks
·linkedin.com·
Introduction to Graph Neural Networks
Context-based Graph Neural Network
Context-based Graph Neural Network
❓How Can Graph Neural Networks Enhance Recommendation Systems by Incorporating Contextual Information? Traditional recommendation systems often leverage a…
Context-based Graph Neural Network
·linkedin.com·
Context-based Graph Neural Network
RDF Sketch, a complete rewrite of our VS Code extension for visualizing and exploring RDF files
RDF Sketch, a complete rewrite of our VS Code extension for visualizing and exploring RDF files
🎅 Santa Came Early with RDF Sketch🎅 This holiday season, we’re excited to share a special gift from Zazuko to the community: RDF Sketch, a… | 11 comments on LinkedIn
RDF Sketch, a complete rewrite of our VS Code extension for visualizing and exploring RDF files
·linkedin.com·
RDF Sketch, a complete rewrite of our VS Code extension for visualizing and exploring RDF files
SimGRAG is a novel method for knowledge graph driven RAG, transforms queries into graph patterns and aligns them with candidate subgraphs using a graph semantic distance metric
SimGRAG is a novel method for knowledge graph driven RAG, transforms queries into graph patterns and aligns them with candidate subgraphs using a graph semantic distance metric
SimGRAG is a novel method for knowledge graph driven RAG, transforms queries into graph patterns and aligns them with candidate subgraphs using a graph…
SimGRAG is a novel method for knowledge graph driven RAG, transforms queries into graph patterns and aligns them with candidate subgraphs using a graph semantic distance metric
·linkedin.com·
SimGRAG is a novel method for knowledge graph driven RAG, transforms queries into graph patterns and aligns them with candidate subgraphs using a graph semantic distance metric
KGC Resource Hub
KGC Resource Hub
We're excited to announce the launch of the KGC Resource Hub (https://lnkd.in/gSaVmS8V), in collaboration with our friends at metaphacts GmbH! 🚀 The KGC…
KGC Resource Hub
·linkedin.com·
KGC Resource Hub
Transforming Data into Dialogue: Knowledge Graphs and Ontologies at the Heart of AI-Powered SEO | LinkedIn
Transforming Data into Dialogue: Knowledge Graphs and Ontologies at the Heart of AI-Powered SEO | LinkedIn
In today’s digital scenario, where AI-driven search and discovery platforms are redefining the rules of online engagement, businesses must rethink how they structure and present their data. At Connected Data London 2024, I had the privilege to speak about the transformative power of knowledge graphs
·linkedin.com·
Transforming Data into Dialogue: Knowledge Graphs and Ontologies at the Heart of AI-Powered SEO | LinkedIn
Capgemini: a perspective on the art of semantic interoperability and how to use it to create relevant data dialogs in data ecosystems.
Capgemini: a perspective on the art of semantic interoperability and how to use it to create relevant data dialogs in data ecosystems.
2024 is coming to an end and the holidays provide a little time to rest. If you are searching for an interesting read I can recommend our latest Data Powered…
a perspective on the art of semantic interoperability and how to use it to create relevant data dialogs in data ecosystems.
·linkedin.com·
Capgemini: a perspective on the art of semantic interoperability and how to use it to create relevant data dialogs in data ecosystems.
SFIA 9 in RDF
SFIA 9 in RDF
How Semantic Partners converted the SFIA competency framework dataset to RDF, and made it available through the SFIA foundation.
·semanticpartners.com·
SFIA 9 in RDF
Panama Papers Investigation using Entity Resolution and Entity Linking
Panama Papers Investigation using Entity Resolution and Entity Linking
This article demonstrates how developers or investigative journalists can use Senzing entity resolution (ER) to work with unstructured documents. In particular, given that ER has been used with structured data sources to construct a domain-specific KG, the results of ER can be leveraged to customise entity linking (EL) downstream, for example using spaCy — as an alternative to off-the-shelf EL sources such as DBPedia.
·guitton.co·
Panama Papers Investigation using Entity Resolution and Entity Linking
Knowledge Engineer - In Parallel
Knowledge Engineer - In Parallel
Empower enterprises to turn strategy into action! As a Knowledge Engineer at In Parallel, you'll craft ontologies and knowledge graphs to drive AI-powered strategic alignment and execution. Joi...
·careers.in-parallel.com·
Knowledge Engineer - In Parallel
Graph resoning in Large Language Models
Graph resoning in Large Language Models
ICYMI, here are the slides from our standing room only talk at NeurIPS yesterday! Concepts we discuss include: ➡️ Quantifying how much Transformer you need to… | 18 comments on LinkedIn
·linkedin.com·
Graph resoning in Large Language Models
Connected Data community and discipline
Connected Data community and discipline
My colleague Su Zun and I spent a very enjoyable 3 days last week with the linked data community at Connected Data London. It was fantastic, and I'm so looking…
·linkedin.com·
Connected Data community and discipline