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#71 - ZAK JOST (Graph Neural Networks + Geometric DL) [UNPLUGGED]
Machine Learning Street Talk (MLST)
Exploring the Power of Pairwise Interactions in Complex Systems
In a paper by William Bali, he explains how most systems can be explained by pairwise interactions. While there are some exceptions, the amount is minimal. The idea of message passing in networks, like in tes, resembles this concept. By capturing information through pairwise interactions, a system can be accurately modeled.
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