Tab2Know: Building a Knowledge Base from Tables in Scientific Papers
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KG4Vis: A Knowledge Graph-Based Approach for Visualization Recommendation
Visualization recommendation or automatic visualization generation can significantly lower the barriers for general users to rapidly create effective data visualizations, especially for those...
Optimizing Graph Transformer Networks with Graph-based Techniques
Graph transformer networks (GTN) are a variant of graph convolutional networks (GCN) that are targeted to heterogeneous graphs in which nodes and edges have associated type information that can be...
The New InfiniteGraph is Available
With a Free 50GB Download...
Alan Morrison on LinkedIn: Sovrin aligns with European Self-Sovereign Identity Consortium (ESSIC
These days, building and activating the network is a starting point to ensure adherence to standards and principles, quality of service and continuous ...
Noetic Cyber emerges from stealth with security monitoring using a graph database
Noetic Cyber emerges from stealth with security monitoring using a graph database - SiliconANGLE
Mike Tamir, PhD on LinkedIn: #AI #DeepLearning #MachineLearning
Graph Neural networks tutorial in Google Colab https://bit.ly/3yI9xBg #AI #DeepLearning #MachineLearning #DataScience...
Building a Knowledge Graph for Job Search Using BERT
A guide on how to create knowledge graphs using NER and Relation Extraction.
SONG: Self-Organizing Neural Graphs
Recent years have seen a surge in research on deep interpretable neural networks with decision trees as one of the most commonly incorporated tools. There are at least three advantages of using...
Introducing ArangoDB 3.8 – Graph Analytics at Scale Introducing ArangoDB 3.8 – Graph Analytics at Scale
We are proud to announce the release of ArangoDB 3.8! With this release ArangoDB improves many use-cases analytics.
Modeling Graph Relationships
This blog offers advice on selecting a direction of the graph relationships, supporting inverse relationships and naming a relationship.
Introducing Graph Store Protocol support for Amazon Neptune
Amazon Neptune is a fast, reliable, fully managed graph database service that makes it easy to build and run applications that work with highly connected datasets. Neptune’s database engine is optimized for storing billions of relationships and querying with millisecond latency. The W3C’s Resource Description Framework (RDF) model and the popular Labeled Property Graph model […]
Geometric foundations of Deep Learning
Geometric Deep Learning is an attempt for geometric unification of a broad class of machine learning problems from the perspectives of symmetry and invariance. These principles not only underlie the breakthrough performance of convolutional neural networks and the recent success of graph neural networks but also provide a principled way…
Knowledge Graphs in Natural Language Processing @ ACL 2021
Of Superheroes, Hypergraphs and the Intricacy of Roles
In my previous post in which I discussed names, I also led in with the fact that I am a writer. Significantly, I did not really talk much about that particula…
TigerGraph Cloud is Now Available On All Three Major Public Cloud Marketplaces - TigerGraph
Customers can use their existing Cloud Marketplace account to consume services on TigerGraph Cloud offering
Engine B - Whats the difference between ontology and Knowledge Graphs-1.pdf
Knowledge graphs
Petar Veličković on Twitter
We release the full technical report & code for our OGB-LSC entry, in advance of our KDD Cup presentations! 🎉https://t.co/w4cQWr6iFdSee thread 🧵 for our insights gathered while deploying large-scale GNNs!with @PeterWBattaglia @davidmbudden @andreeadeac22 @SibonLi et al. pic.twitter.com/Aj3joZnIZ9— Petar Veličković (@PetarV_93) July 21, 2021
Aaron Bradley on Twitter
NEWS https://t.co/LK4SRbrCZD releases a new version with ❺ @BioSchemas types for representing life sciences dataA big step towards improving #findability of life sciences web resources@SSirarat @egonwillighagen @gray_alasdair #FAIRdata #bioinformatics➡️https://t.co/ZTq3T5FfyK pic.twitter.com/7fpfQmVd5w— ELIXIR Europe (@ELIXIREurope) July 9, 2021
Philip Vollet on LinkedIn: #github #programming #opensource
Visualizing a codebase! How to maintain a better overview? Simply take a bird's eye view! The GitHub Repository Visualizer to fingerprint a codebase ...
Juan Sequeda on LinkedIn: Designing and Building Enterprise Knowledge Graphs
Finally!! After a couple of years of writing, and building on a decade of research and practice, our book "Designing and Building Enterprise Knowledge ...
Tom Sawyer Software on LinkedIn: #graph #complexity #IoT
Not all information needs to be seen at first sight. Child drawings allow you to expand a parent node and see more elements. See the #graph at the level...
Christophe Willemsen on LinkedIn: GitHub OCTO | Visualizing a codebase
Visualising a code base, as a graph ! Nice experiment by Github’s Office of the CTO https://lnkd.in/dPZaycCp...
Kurt Cagle on LinkedIn: Can Consciousness Be Explained by Quantum Physics? Fascinating Research | 15 comments
Something that I think is beginning to emerge is the close connection between networks (graphs), fractals, and quantum mechanics. We tend to see the world... 15 comments on LinkedIn
Benedek Rozemberczki on LinkedIn: #ai #machinelearning #datascience
Recommended good read: Filtration Curves for Graph Representation (KDD 2021) Paper: https://lnkd.in/dGfJ_TR Code: https://lnkd.in/d-YCXZT #ai #machinelearning...
Graphing crypto | Frontier Enterprise
Merkle Science is a Singapore-headquartered blockchain data analysis firm that helps crypto companies, financial institutions, and government agencies detect, investigate, and prevent illegal activities that involve cryptocurrencies. Over the past couple of years, Merkle Science has been trying to visualise their data and make it easier to understand through use of a graph database. Unlike […]
The Semantic Web: 20 Years And a Handful of Enterprise Knowledge Graphs Later
How the Semantic Web vision reincarnated in thousands of Linked Open Data datasets and millions of Schema.org tagged webpages
David Bader on Twitter
[Article] Interactive Graph Stream Analytics in ArkoudaFully #openaccess @ https://t.co/9h0J69f8Q3#streaminggraphdata#graphstreamsketch#trianglecounting#Arkoudaframework#algorithms pic.twitter.com/AfxyflYZ7k— Algorithms MDPI (@Algorithms_MDPI) July 27, 2021
Kelvin Lawrence on Twitter
A major update to the graph-notebook project (https://t.co/a7gh3wpOy2) was just released . Connect to any TinkerPop enabled graph database and see your query results as text and diagrams as well as use Python code. SPARQL and openCypher supported too! @apachetinkerpop #graphdb— Kelvin Lawrence (@gfxman) July 29, 2021