Graph Neural Networks: Why Message Passing Works - and Where It Breaks
Graph Neural Networks: Why Message Passing Works - and Where It Breaks Most machine learning assumes a table. Rows are independent, columns are fixed, and shuffling the rows changes nothing except the order of the output. Graphs break all three assumptions at once. A molecule is not a row. A social…
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- 2026-10-27 02:20 · DEV Community — Machine Learning
Graph Neural Networks: Why Message Passing Works - and Where It Breaks
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