GraphNews

This week SambaNova landed $676 million in Series D funding, making it the best-funded AI startup in the world. For many of my colleges…

Start with Graph Neural Networks from zero and implement a graph convolutional layer in Pytorch

For regular readers of the (lately somewhat irregularly published) The Cagle Report, I've finally managed to get my feet underneath me at Data Science Central, and am gearing up with a number of new initiatives, including a video interview program that I'm getting underway as soon as I can get the l

Nicole Buckenwolf use ontologies and taxonomies to organize the product information that you see at businesses like Amazon and Etsy.

SumGNN: multi-typed drug interaction prediction via efficient knowledge graph summarization • A subgraph extraction module that can efficiently anchor ...

In late November the U.S. Federal Drug Administration approved Benevolent AI’s recommended arthritis drug Baricitnib as a COVID-19…

Helpful juxtaposition of various modelling paradigms. Thoughtprovoking, too, when you look at the column to the right. Even though things seem to be in... 16 comments on LinkedIn

QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering - The problem of answering questions using knowledge from pre-trained...

Drivine - Graph Database Client for Node.js & TypeScript

Of course, every thing “isa” thing

What if two of the hottest graph frameworks come together? You better come to the party! Leverages the flexibility of GraphQL in the frontend with the ... 16 comments on LinkedIn

On the role of knowledge that is structured, explicit and intelligible in providing a path toward higher machine intelligence

Apollo GraphQL has updated its Apollo Federation offering, making it more accessible to a wider range of developers using different tools.

AUSTIN, TX – April 06, 2021 – Katana Graph, a high performance scale-out graph processing, AI and analytics company, announced today that it has optimized its graph engine for the new 3rd Gen Intel Xeon Scalable processor and memory systems. Katana Graph can now take advantage of the latest generation Intel Xeon Scalable processors and […]

The future of search is the rise of intelligent data and documents. Way back in 1991, Tim Berners-Lee, then a young English software developer working at CERN…

Is it me or the Twitter graph and the LinkedIn graph feel a bit disconnected? I personally tend to interact more with the first and that's why I have the impression that the second might be missing out on some of the nice and "graphy" content that I've been producing lately. This article is just a c

Linked Data is a universal approach for naming, shaping, and giving meaning to data, using open standards. It was meant to be the second big information

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Building scalable semantic retrieval from image, text, graph, and interaction data

Relational databases schemes are essentially driven by normalization, not by real-world relationships. One of my longest SQL query has beaten 4000 lines... 12 comments on LinkedIn

I worked on some experiments on RDF-to-text generation. The goal is to generate coherent multi-sentence texts from data in a knowledge graph. While not...

Knowledge graph applications are one of the most popular graph use cases being built on Amazon Neptune today. Knowledge graphs consolidate and integrate an organization’s information into a single location by relating data stored from structured systems (e.g., e-commerce, sales records, CRM systems) and unstructured systems (e.g., text documents, email, news articles) together in a […]

AmpliGraph is a TensorFlow-based open-source library developed by Accenture Labs for predicting links between concepts in knowledge graphs.

Ontotext has released GraphDB 9.6 that implements a long list of usability improvements collected as input over various channels.

Version 5 is now live…

Wrapping up the 2021 edition of the Graph Deep Learning course at USI Università della Svizzera italiana, we had an amazing guest lecture by Prof Kyle ...

Taking data out of the restrictions of the relational database makes it easier to traverse your data to find connections—that is, if you map the data into the form of a graph with entities represented as vertices and relationships represented as edges.

Dame Wendy Hall: "Let’s not underestimate the vision or the task – this is a moonshot....a National Digital Twin, an ecosystem of digital twins, is going... 15 comments on LinkedIn

Amy Hodler is Director, Analytics and AI Program at Neo4j   Conventional anti-money laundering (AML) analytics fail to detect the hidden relationships that reveal criminal networks, says Neo4j’s Amy Hodler Catching money launderers is a huge and growing challenge. Criminal money laundering activities are often hidden in plain sight, within legitimate transactions. Money laundering now […]

DIG: Dive into Graphs A research-oriented library that includes unified and extensible implementations of algorithms for (1) graph generation, (2) self-supervised...