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danielegrattarola.github.io
| | deepmind.google
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| | This has been a year of incredible progress in the field of Artificial Intelligence (AI) research and its practical applications.
| | stribny.name
2.3 parsecs away

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| | Fields in Artificial Intelligence and what libraries to use to address them.
| | www.simula.no
3.0 parsecs away

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| | Graph neural networks (GNNs), which extend the successful ideas of deep learning to irregularly structured data, are a recent addition to the field of artificial intelligence. While traditional deep learning has focused on regular inputs such as images composed of pixels in two-dimensional space, graph neural networks can analyze and learn from unstructured connections between objects. This gives GNNs the ability to tackle completely new classes of problems, such as analyzing social networks and power grids or uncovering molecule structures in computational chemistry.
| | www.cambridge.org
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