Tom Hope on LinkedIn: #ai #nlproc #bioinformatics
GraphNews
Philip Vollet on LinkedIn: #datascience #nlp #graphs
Graph Neural Networks for Natural Language Processing: A Survey Paper https://lnkd.in/gefRmQi Deep learning has become the dominant approach in coping...
Bill Slawski on LinkedIn: Learn more about the person behind the news article
It's always a nice feeling when you speculate about something Google is doing (in this case, on-camera yesterday afternoon with Barry Schwartz at SMX -...
The Case for RDF (Revisited)
Over the past few years, growth in the uptake of RDF has picked up steadily. In some domains, such as asset management and systems engineering, this growth is quite significant and driven by national and European standards.
Vincent Boucher on LinkedIn: #Transformers #GraphRepresentation #DeepLearning
Do Transformers Really Perform Bad for Graph Representation? Ying et al.: https://lnkd.in/dNaPiEf #Transformers #GraphRepresentation #DeepLearning...
Reaction Graphs with Reaxys
Knowledge graphs have been increasingly seen as a way to understand relationships among data. They are used for biological networks, drug information - and chemical reactions.
Inoreader - Take back control of your news feed
One place to keep up with all your information sources. With Inoreader, content comes to you, the minute it's available. Subscribe to RSS Feeds, Blogs, Podcasts, Twitter searches, Facebook pages, even Email Newsletters! Get unfiltered news feeds or filter them to your liking.
Bruno Neri on LinkedIn: #graphneuralnetworks
"Design Space for Graph Neural Networks" by Jure Leskovec, Jiaxuan You, and Rex Ying "GNN designs are often specialized to a single task, yet few efforts...
15 Tools for Visualizing Your Neo4j Graph Database
Visualizing graphs is hard. Thankfully, a ton of tools have been developed that make graph visualization a cakewalk.
Virtual Graphs Deliver Sub-Second Query Times and 98% Cost Savings - Stardog
Our latest benchmark report, Trillion Edge Knowledge Graph, is the first demonstration of a massive knowledge graph that consists of materialized data and Virtual Graphs spanning hybrid multicloud data sources. We prove it is possible to have a 1 trillion-edge knowledge graph and deliver sub-second query times while achieving a 98% cost savings.
The Forrester Wave™: Graph Data Platforms, Q4 2020
Invited Talk - Michael Bronstein
Over smoothing issue in graph neural network
A visual guide to graph neural networks and over-smoothing issue
Philip Vollet on LinkedIn: #datascience #nlp #machinelearning | 26 comments
Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. It provides both full implementations of state-of-the-art models for data scientists... 26 comments on LinkedIn
AgensGraph on Twitter
Bitnine Promoting a First IPO in the Graph Database Industry This Year https://t.co/Lh9zi7g0ZJ pic.twitter.com/9JJYcUwTQK— Latest News from Business Wire (@NewsFromBW) March 2, 2021
Learning SPARQL on Twitter
new life sciences SPARQL endpoint. License unclear, and contains (with permisison) some proprietary data (MeSH): https://t.co/HuvlSNhRo3 https://t.co/gSFH7o7Oxo— Egon Willighⓐgen (@egonwillighagen) February 25, 2021
Introducing the Open Source Insights Project
Google introduces the #OpenSource Insights Project
Exploratory #visualization provides an interactive view of #OSS projects dependencies
A full dependency graph is built/published, incorporating metadata, so you can see how it may affect your #software
Neo4j Graph Data Science Library 1.6: Fastest Path to Production
Check out the new features in the Neo4j graph data science library v1.6, including improved graph embeddings and better supervised ML pipelines.
Knowledge Graphs 2.0: High Performance Computing Emerges
In this contributed article, editorial consultant Jelani Harper discusses The how increasing reliance on knowledge graphs parallels that of Artificial [...]
benedekrozemberczki/awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations. - benedekrozemberczki/awesome-graph-classification
Build 2021: Microsoft reveals enhancements to Power BI, Cosmos DB | ZDNet
Microsoft's annual developer event, Build, introduces no revolutionary changes on the data and analytics front, but there's a long manifest of new evolutionary features and service tiers.
Inoreader - Take back control of your news feed
One place to keep up with all your information sources. With Inoreader, content comes to you, the minute it's available. Subscribe to RSS Feeds, Blogs, Podcasts, Twitter searches, Facebook pages, even Email Newsletters! Get unfiltered news feeds or filter them to your liking.
Ontologies and Ethical AI
[vc_row type=”in_container” full_screen_row_position=”middle” scene_position=”center” text_color=”dark” text_align=”left” overlay_strength=”0.3″ shape_divider_position=”bottom”][vc_column column_padding=”no-extra-padding” column_padding_position=”all” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_shadow=”none” column_border_radius=”none” width=”1/1″ tablet_text_alignment=”default” phone_text_alignment=”default” column_border_width=”none” column_border_style=”solid”][vc_column_text]What Is Ethical AI? Ethical, or responsible, artificial intelligence (AI), “is the...
A Comprehensive Survey on Community Detection with Deep Learning
A community reveals the features and connections of its members that are
different from those in other communities in a network. Detecting communities
is of great significance in network analysis....
Awesome Graph Classification
I have been working on Awesome Graph Classification for years. It is a collection of ML techniques that solve graph classification problems: kernels, statistical...
Graph Representation Learning — The Encoder-Decoder Model (Part 2)
This series summarizes a comprehensive taxonomy for machine learning on graphs and reports details on GraphEDM (Chami et. al), a new framework for unifying different learning approaches. Graphs are…
Why I Use SHACL For Defining Ontology Models — TopQuadrant, Inc
This blog discusses SHACL capabilities and advantages of modeling in SHACL. It also debunks some myths about SHACL's shortcomings.
Why I Don't Use OWL Anymore — TopQuadrant, Inc
This blog discusses why, after being a strong supporter of using OWL, I no longer use it and had completely abandoned it in favor of SHACL.
Real-World BIM: Analysing Different Modelling Options in Published Object Type Libraries | LinkedIn
In the world of asset management, data exchange is a big thing. Modelling the underlying information is a central tenet in Building Information Modelling (BIM).
Bob DuCharme on Twitter: "I plan to add this quote to a slide someday: "“Linked Data” is a broad marketing euphemism for RDF that emphasises some but not all of its strengths, such as the ease of data merging across loosely coupled systems. But it is not a technical term or a W3C standard as such."" / Twitter
I plan to add this quote to a slide someday: "“Linked Data” is a broad marketing euphemism for RDF that emphasises some but not all of its strengths, such as the ease of data merging across loosely coupled systems. But it is not a technical term or a W3C standard as such."