Aaron Bradley on Twitter
UFO: Unified Foundational Ontology / Giancarlo Guizzardi et al. https://t.co/GuTFxstIqV pic.twitter.com/9BJG1GUdIt— Aaron Bradley (@aaranged) December 16, 2021
How data decentralization is already benefiting enterprises–and society
Manufacturing Line, Wikimedia Commons, 2014 Fakery certainly isn’t limited to news and social media. The Organisation for Economic Co-operation and Developmen…
How Data Modeling is different today
Over the last 20 years my life revolved around doing “everything modeling” - building models, discussing modeling, teaching modeling and so on. Unsurprisingly, I have an opinion about models and modeling.
How to Model Shared and Local Data Viewpoints using SHACL Ontologies
In the previous article on how data modeling is different today, I talked about modularity and expressivity required for defining shared models. Such concepts are often talked about in abstract terms.
Combating Antibiotic Resistance: The Medical Climate Crisis
To combat antibiotic resistance, Roland Haas uses a knowledge graph to offer patients the right antibiotic for the right diagnosis at the right dosage.
Knowledge Graphs for Open Science — Ontotext
How knowledge graphs model the relationships within scientific data in an open and machine-understandable format for better science.
Reflections of knowledge
Designing Web APIs for sustainable interactions within decentralized knowledge graph ecosystems ◆ Web services emerged in the late 1990s as a way to access specific pieces of remote functionality, building on the standards-driven stability brought by the universal protocol that HTTP was readily becoming. Interestingly, the Web itself has drastically changed since…
Council Post: How To Start Solving Data Challenges With Knowledge Graphs
Knowledge graphs are well-suited to organizations with large data sets and where extracting knowledge often proves burdensome.
From text to knowledge. The information extraction pipeline
Implementation of information extraction pipeline that includes coreference resolution, entity linking, and relationship extraction…
What's In Store For The Future Of The Modern Data Stack?
Bob Muglia, the former CEO of Snowflake, discusses what’s next for the tooling and technologies powering data analytics and engineering.
Tree of Life
Traversing the Tree of Life, using Neo4j
Cognitive biases in Neo4j
A blog about my work and fun with Neo4j, the world's leading graph database platform.
Graph ML in 2022: Where are we now?
Hot trends and major advancements
Derive Insights from Health Data Using Knowledge Graph Technologies
How knowledge graph technologies can help clinical natural language processing
Launching the OriginTrail v6 — stages explained
Since the launch of its genesis network in January 2019, the OriginTrail project has yielded a crucial advancement for the foundation of…
Using subgraphs for more expressive GNNs
The expressive power of Message-Passing Graph Neural Networks is inherently limited due to their equivalence to the Weisfeiler-Lehman graph isomorphism...
A Simple Standard for Sharing Ontological Mappings (SSSOM)
Despite progress in the development of standards for describing and exchanging scientific information, the lack of easy-to-use standards for mapping between different representations of the same...
Colab tutorial on graph neural networks with the JAX+Jraph stack
Excited to share a Colab tutorial on graph neural networks with the JAX+Jraph stack, which we use in-house at DeepMind! Developed by Lisa Wang and Nikola... 12 comments on LinkedIn
graph Transformer
Excited that our graph Transformer has been accepted as a Contributed Talk to NeurIPS ML and Physical Sciences workshop (TOP 3 out of 151) :D Thanks to...
EduCOR: An Educational and Career-Oriented Recommendation Ontology
MarkLogic Acquires Smartlogic
Why enterprise ontology management matters to the EKG industry
(G)NNs can successfully guide the intuition of mathematicians & yield top-tier results
Our work has been published in Nature!!! (G)NNs can successfully guide the intuition of mathematicians & yield top-tier results -- in both representation... 48 comments on LinkedIn
Dan McCreary on LinkedIn: Introducing TensorFlow Graph Neural Networks
Last week Google added Graph Neural Network support to TensorFlow. This comes in the wake of PyTorch Geometric getting a lot of support from Meta (formerly...
GDG Casablanca on LinkedIn: #devfest21 #GDGCasa #WTMCasa
[DevFest Casablanca 2021 Speakers 😎] Anas AIT AOMAR, Engineering Student at Emines school of industrial management. who also payback to the community...
Graph? Yes! Which one? Help!
Tomaz Bratanic on LinkedIn: Graph Algorithms for Data Science
After years of writing a graph data science blog, I've decided to present all my learning in a more guided and structured way. Today I am happy to announce...
A Gateway to Knowledge Graphs
Earlier this month I asked here on LinkedIn about interest publishing a short piece on Knowledge Graphs. The response was overwhelmingly positive, so today...
TinkerPop on Twitter
G.V() is an all-in-one Gremlin IDE to write, test and analyze results for your TinkerPop-enabled graph database - in open beta now and looking for feedback: https://t.co/0FLK7kC9K9 #graphdb pic.twitter.com/7U8PeKFsm9— TinkerPop (@apachetinkerpop) November 22, 2021
Making FastRP graph embeddings work for you
How to tune the hyperparameters of FastRP to your specific problem
Graph Neural Networks through the lens of Differential Geometry and Algebraic Topology
New perspectives on old problems in Graph ML