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www.simula.no
| | www.blopig.com
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| | [AI summary] This post explains how Graph Neural Networks and pre-trained protein language models are used to predict biological properties of proteins by modeling their structural and sequence data.
| | swethatanamala.github.io
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| | As a series of posts, I would be working and explaining on deep graph neural networks. So, In this blog I give introduction to Graph theory
| | www.exxactcorp.com
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| | Discover how Geometric Deep Learning revolutionizes AI by processing complex, non-Euclidean data structures, enabling breakthroughs in drug discovery, 3D modeling, and network analysis.
| | www.v7labs.com
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| Recurrent neural networks (RNNs) are well-suited for processing sequences of data. Explore different types of RNNs and how they work.