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Graphhopper: Multi-Hop Scene Graph Reasoning for Visual Question Answering
Visual Question Answering (VQA) is concerned with answering free-form questions about an image. Since it requires a deep semantic and linguistic understanding of the question and the ability to...
How MUM improved Google Searches for vaccine information
How MUM helped improve access to high-quality COVID-19 vaccine information worldwide.
A Slice of Pi: Some Small Scale Experiments with Sensor Data and Graphs
We wanted to see if the sensor data can be brought together through the Node Red low-code/no-code framework to feed the data into RDFox, an in-memory triplestore and then data summaries periodically pushed to a central, larger triplestore.
Sarah Drasner on Twitter
Due to the fact that the chapters are related to each other, I realized my book is better represented with a graph than in a linear formatYou can see the "Values" chapter is the core, so many other parts come from that pic.twitter.com/lFsxG0U7M6— Sarah Drasner (@sarah_edo) July 13, 2021
Graph Neural Networks as Neural Diffusion PDEs
Graph neural networks are intimately related to partial differential equations governing information diffusion on graphs.
Stanford AI Lab on Twitter
Wouldn't it be great if AI could reason with commonsense knowledge?Check out our latest blog post on a new question answering model, QA-GNN, that jointly reasons with language models and knowledge graphs, by @michiyasunaga!https://t.co/6b6e7ZWCba— Stanford AI Lab (@StanfordAILab) July 13, 2021
Aaron Bradley on Twitter
Querying Linked Data: how to ensure user's quality requirements https://t.co/VtOKQ6HqJC pic.twitter.com/VOfDLNda5p— Aaron Bradley (@aaranged) July 14, 2021
Teodora Petkova on Twitter
An ontology for the formalization and visualization of scientific knowledge https://t.co/ZWx7UUwyzk pic.twitter.com/ATQlJfXoHw— Aaron Bradley (@aaranged) July 12, 2021
A New Approach for Semantic Web Matching
In this work we propose a new approach for semantic web matching to improve the performance of Web Service replacement. Because in automatic systems we should ensure the self-healing,...
From Semantic to Technical Interoperability in the Construction Industry It Landscape - Sphere
In the previous SPHERE news article focusing on the application of ontologies for digital twins of buildings, the importance of interoperability between data environments was stressed to reach a rich digital representation. In our philosophy, applications in the SPHERE ecosystem should always be replaceable to avoid vendor-lock in and to stimulate a best-of-breed approach. Such ... Read more
The NCDS on Twitter
#DataMatters course "Using Linked Data," taught by @balhoff, offers an introduction to #linkeddata, #knowledgegraphs, and the semantic web tools underlying its use. #datascience #dataanalytics @RENCI
Learn more and register here: https://t.co/P23ZlCsVOQ https://t.co/AFx1FmN6vl
Knowledge Graph Technologies Accelerate and Improve the Data Model Definition for Master Data
Jan Voskuil on LinkedIn: Parts and Wholes in Object Type Libraries — OTL Best Practices Part | 11 comments
Here is my new article about best practices in designing object type libraries #RDF #ontology #linkeddata #OTL #BIM... 11 comments on LinkedIn
Vincent Boucher on LinkedIn: #ChemicalPhysics #ArtificialIntelligence #Biomolecules
Geometric Deep Learning on Molecular Representations Atz et al.: https://lnkd.in/dEeydSb #ChemicalPhysics #ArtificialIntelligence #Biomolecules...
Stephen Coltart on LinkedIn: Will It Graph? Identifying a Good Fit for Graph Databases — Part 1
https://lnkd.in/eWj8SW2 How do graph databases work under the hood and how is this different from relational databases? In this, Will It Graph blog series...
How NASA is using knowledge graphs to find talent | VentureBeat
David Meza, senior data scientist at NASA, and his team are building a talent mapping database to better identify talent for jobs.
Mitre D3FEND explained: A new knowledge graph for cybersecurity defenders | CSO Online
Philip Vollet on LinkedIn: #datascience #machinelearning #research
As a data scientist or machine learning engineer it's not easy to keep up with the latest research. Zeta Alpha the next generation neural discovery platform...
Unlocking analytics with data lake and graph analysis
Businesses need streaming ingestion tools and centralized data lakes with separate storage and compute layers to fulfill customer requests.
Eric Feuilleaubois (Ph.D) on LinkedIn: Graph Kernel Attention Transformers: Toward Expressive and Scalable
Graph Kernel Attention Transformers: Toward Expressive and Scalable Graph Processing | Synced...
Knut Jägersberg on LinkedIn: #deeplearning #naturallanguageprocessing #nlproc
Common sense knowledge graph embedding projected fasttext document embeddings vs transformers In these two blog posts, Radix demonstates deep learning...
Computational Requirements of Graph Analytics and How to Meet Them - RTInsights
Graphs algorithms, which are ideal to analyze sparse and irregular datasets, can benefit from special hardware that optimizes their performance.
Application-Driven Graph Schema Design, Demystified
While graph databases like Neo4j are schemaless by default, leverage the power of schemas in development by focusing on application driven graph schema design
Using Graph Databases to Power IoT in Healthcare
Until very recently, the objects of common use such as wearable devices, cars, watches, refrigerators and health-monitoring devices, did not produce or handle d
Philip Vollet on LinkedIn: #deeplearning #datascience #machinelearning
Learning Attributed Graph Representations with Communicative Message Passing Transformer • Constructing appropriate representations of molecules lies at...
Fraud Detection with Graph Analytics
Leveraging the network structure of the use case to boost predictive performance
Private Graph Data Release: A Survey
The application of graph analytics to various domains have yielded tremendous
societal and economical benefits in recent years. However, the increasingly
widespread adoption of graph analytics...
The OntoCommons Demonstrators | OntoCommons.eu
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