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swethatanamala.github.io
| | research.google
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| | Posted by Bryan Perozzi, Research Scientist and Qi Zhu, Research Intern, Google Research Graph Neural Networks (GNNs) are powerful tools for levera...
| | jeremykun.wordpress.com
3.6 parsecs away

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| | Define the Ramsey number $ R(k,m)$ to be the minimum number $ n$ of vertices required of the complete graph $ K_n$ so that for any two-coloring (red, blue) of the edges of $ K_n$ one of two things will happen: There is a red $ k$-clique; that is, a complete subgraph of $ k$...
| | www.blopig.com
2.9 parsecs away

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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.
| | schmidhuberj.de
26.4 parsecs away

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| In this blog post, I will talk about dynamic graphs, which will be the area of work in which I will start writing my master's thesis soon. While this blog post will be more mathematical than any of my other blog posts so far, I tried to make everything as beginner-friendly as possible. Even if you don't have any knowledge about theoretical computer science, or you are just getting started, this blog post should be understandable.