the task should accurately quantify the “distribution shift” in the data. Having precise control of this shift could allow us to understand the drawbacks of our learning methods, and build systems which can generalize over multiple tasks but still remember the old ones. Data distribution
Graphs Analytics for Fraud Detection - Towards Data Science
Graphs #Analytics for Fraud Detection, using Graph #NeuralNetworks for Anomaly detection. GraphSAGE is Stanford #opensource project: deep neural network-based NRL toolkit, implemented in Tensorflow, making it ideal to develop an anomaly detection system
Graphs (not charts and pretty pictures) are an abstraction that was first used by Euler in 1736 to solve the now famous Konigsberg problem. This mathematical abstraction has been proven to be useful in several niche domains where complex networks (graphs are also known as networks) had to be analyze
GREASE: A Generative Model for Relevance Search over Knowledge Graphs. (arXiv:1910.04927v1 [cs.IR])
Relevance search is to find top-ranked entities in a #knowledgegraph that are relevant to a query entity. #Research paper on novel generative model over #knowledgegraphs for relevance search, named GREASE
In the Summer of 2019, the term “Knowledge Graph” (KG) suddenly appeared in the Gartner Hype Cycle for Emerging Technologies, already close to the peak of inflated expectation. That was quite a surprise, as it did not exist at all in the previous year’s: it just popped up halfway to the top, as a relevant...
We present a solution to learn URI selection criteria in order to improve the crawling of Linked Open Data by predicting their RDF-relevance. The prediction co…
Hansel and Gretel & Big Data Analytics with Graphs - TigerGraph
Given a set of business entities such as two merchants for financial services or two doctors for healthcare, how are they related? Do they have customers or patients in common and how is their relationship evolving over a period of time?
For the interested -- you can find an empirical study of the sparql-gremlin mapping used by the plugin here: https://t.co/QGIzufzDKo— Harsh Thakkar (@Harsh9t) January 11, 2019
Harsh Thakkar retweeted: AI has a critical role to play in fighting COVID-19 - @SemanticScholar has taken the lead in partnership with several groups to produce the COVID-19 Open Research Dataset (CORD-19), a free resource of 29K+ scholarly articles for t
AI has a critical role to play in fighting COVID-19 - @SemanticScholar has taken the lead in partnership with several groups to produce the COVID-19 Open Research Dataset (CORD-19), a free resource of 29K+ scholarly articles for the #AI research community: https://t.co/Pk94dvW6Kp— Allen Institute for AI (@allen_ai) March 16, 2020
Has Margaret Atwood's CPU spiked? | Info | The Guardian
For seriously technical reasons, we needed several thousand feminists - seriously technical reasons, and simply making a small improvement to inclusivity on our team
Healx raises $56M Series B to use AI to find treatments for rare diseases
.@healx a Cambridge, U.K.-based startup using AI to help discover new treatments for rare diseases, raised $56 million in Series B funding. They focus on rare genetic diseases and have the world’s leading biomedical #knowledgegraph for rare diseases
Helping students learn with Course Hero, powered by Amazon SageMaker | AWS Machine Learning Blog
Course Hero is an online learning platform that provides students access to over 25 million course-specific study materials, including study guides, class notes, and practice problems for numerous subjects. The platform, which runs on AWS, is designed to enable every student to take on their courses feeling confident and prepared. To make that possible, Course […]
Reading a very interesting BAthesis "Design of a #LinkedData-enabled #Microservice Platform for the Industrial Internet of Things" that was part of the @scale_it_org project. https://t.co/8I5uqGQJv8— The 🐟 BabelFish (@bblfish) July 2, 2019