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Mashup Score: 1
Visualization of large complex networks is challenging with limitations for the network size and depicting specific structures. The authors propose a Graph Neural Network based algorithm with improved speed and the quality of graph layouts, which allows for fast and informative visualization of large networks.
Source: NatureCategories: General Medicine News, Latest HeadlinesTweet
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Mashup Score: 2
The ability to navigate large volumes of unstructured data is a step toward better outcomes, efficiencies, and opportunities in medical research.
Source: The Medical RepublicCategories: Healthcare Professionals, Latest HeadlinesTweet
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Mashup Score: 10Overview of Graph Theory and Alzheimer's Disease - 2 year(s) ago
Graph theory measures may provide powerful means of understanding brain function at both the global and regional levels. These measures may be particularly useful when it comes to understanding network changes in the brain that occur due to disease.
Source: The GradientCategories: Future of Medicine, Latest HeadlinesTweet
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Mashup Score: 4For Today’s Graduate, Just One Word: Statistics (Published 2009) - 2 year(s) ago
With the explosion of digital data, statisticians can earn $125,000 in their first year after getting a doctorate.
Source: www.nytimes.comCategories: Latest Headlines, RheumatologyTweet
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Mashup Score: 1Graph AI | Graph + AI Summit Fall 2021 | TigerGraph - 3 year(s) ago
Graph + AI Summit is focused on accelerating and integrating AI and machine learning with graph algorithms.
Source: TigerGraphCategories: Healthcare Professionals, Latest HeadlinesTweet
.@barabasi @csabath95 @nimatabari @yuqirose propose a #Graph #NeuralNetwork based algorithm with improved speed and the quality of graph layouts, which allows for fast and informative visualization of large networks #GettingApplied https://t.co/4zVGFvoDhN