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Deep learning model dramatically improves subgraph matching accuracy by eliminating noise - MSNA research team from Kumamoto University has developed a promising deep learning model that significantly enhances the accuracy of subgraph matching—a critical task in fields ranging from drug ...
Rebooting AI: Deep learning, meet knowledge graphs Knowledge graphs, the 20-year old hype, may have something to offer there. Written by George Anadiotis, Contributor Nov. 20, 2020 at 7:49 a.m. PT ...
Lin also emphasized that deep learning is not the end all. For example, ... Lin mentioned work done by researchers from USC and Microsoft [PDF], which generalizes LSTMs to model graphs.
As Toon reminds The Next Platform, deep learning frameworks are capturing a knowledge model from data and the best way to represent those features and represents is via a computational graph.At their ...
Twitter has just announced it has picked up London-based Fabula AI.The deep learning startup has been developing technology to try to identify online disinformation by looking at patterns in how ...
Deep learning — which uses multilayered neural networks to elicit patterns from data — was getting really hot back then. There was already a lot of excitement about applications in image ...
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