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Graph Neural Networks – 7 Applications #machinelearning #deeplearningai #graphml #deeplearning

Company
AssemblyAI

Date published
March 14, 2024

Transcript

The number of areas impacted by graph neural networks is just incredible. GNNs can reveal insights directly from enterprise databases, no more tedious manual processing required. Uber Eats uses gnns in the recommendation system, improving accuracy by over 20%. Google Maps taps gnns to estimate arrival times on transportation graphs, cutting error by up to 50%. Even weather forecasting can be improved with gns. The recent graphcast model sets new standards for global forecasting in material science. Google's genome expanded the number of stable materials known to humanity by an order of magnitude. Gnns are central to drug discovery. Coupled with explainable graph algorithms, they are even able to explain the rationale behind their predictions. Merging gnns with generative models boosted recent breakthroughs in protein design. Subscribe to our channel now and check out our AI explainers and practical tutorials.


By Matt Makai. 2021-2024.