GraphNews

What if we model a graph as a set of subgraphs instead of a set of interconnected nodes? Hint: expressive power + equivariance! 🧵Joint work by a super team: @beabevi_ * @dereklim_lzh * @balasrini32 @ChenCaiUCSD @gblearning42 @mmbronstein @HaggaiMaronhttps://t.co/6rW4e47RhN pic.twitter.com/Ajl8L5xdDc— Fabrizio Frasca (@ffabffrasca) December 15, 2021

MedGraph: An experimental semantic information retrieval method using knowledge graph embedding for the biomedical citations indexed in PubMed https://t.co/B3tmoVilDt pic.twitter.com/DvEVoU53ec— Aaron Bradley (@aaranged) December 14, 2021

TempoQR: Temporal Question Reasoning over Knowledge Graphs https://t.co/6SXVnzyG1x pic.twitter.com/LXQW2XYbUb— Aaron Bradley (@aaranged) December 14, 2021

Predictive UX explores UX Design for Enterprise Search Using Knowledge Graphs

Graph-based hierarchical record clustering for unsupervised entity resolution https://t.co/I0saMXcQFL pic.twitter.com/eB7Cphflp3— Aaron Bradley (@aaranged) December 14, 2021

Use our SPARQL micro-services to query #PubMedCentral with #SPARQL using a PMID or PMCID, and get article metadata in #RDF.https://t.co/1RKvb9GZkvhttps://t.co/XxjTUy2Gut@pubmed @wimmics @Inria @uca_research @Laboratoire_I3S #ScientificLitterature pic.twitter.com/bm8OdpzoaN— Michel Franck (@franck_michel2) December 7, 2021

Check out how knowledge graphs have transformed the supply chain industry in the continued wake of the pandemic.

Embedding knowledge on ontology into the corpus by topic to improve the performance of deep learning methods in sentiment analysis - Scientific Reports https://t.co/W0lKPRCh84 #DL #AI #ML #DeepLearning #ArtificialIntelligence #MachineLearning #ComputerVision #AutonomousVehicles— Deep_In_Depth (@Deep_In_Depth) December 11, 2021

The long-awaited major release of Bloom 2.0 has arrived with some key feature updates we think you’ll find helpful in your data exploration.

UFO: Unified Foundational Ontology / Giancarlo Guizzardi et al. https://t.co/GuTFxstIqV pic.twitter.com/9BJG1GUdIt— Aaron Bradley (@aaranged) December 16, 2021

Manufacturing Line, Wikimedia Commons, 2014 Fakery certainly isn’t limited to news and social media. The Organisation for Economic Co-operation and Developmen…

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.

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.

To combat antibiotic resistance, Roland Haas uses a knowledge graph to offer patients the right antibiotic for the right diagnosis at the right dosage.

How knowledge graphs model the relationships within scientific data in an open and machine-understandable format for better science.

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…

Knowledge graphs are well-suited to organizations with large data sets and where extracting knowledge often proves burdensome.

Implementation of information extraction pipeline that includes coreference resolution, entity linking, and relationship extraction…

Bob Muglia, the former CEO of Snowflake, discusses what’s next for the tooling and technologies powering data analytics and engineering.

Traversing the Tree of Life, using Neo4j

A blog about my work and fun with Neo4j, the world's leading graph database platform.

Hot trends and major advancements

How knowledge graph technologies can help clinical natural language processing

Since the launch of its genesis network in January 2019, the OriginTrail project has yielded a crucial advancement for the foundation of…

The expressive power of Message-Passing Graph Neural Networks is inherently limited due to their equivalence to the Weisfeiler-Lehman graph isomorphism...

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...

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

"The Open Application Group (OAGi) and the Industrial Ontologies Foundry (IOF) have signed an agreement to produce industrial ontologies." [PR] https://t.co/zz511UBuYE— Aaron Bradley (@aaranged) March 3, 2021

Identifying Ingredient Substitutions Using a Knowledge Graph of Food https://t.co/5pZWc9Bt94 pic.twitter.com/PgkMr9idHj— Aaron Bradley (@aaranged) March 3, 2021

Introduction to timbr and the Covid-19 SQL knowledge graph