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- title: "Interpreting Temporal Graph Neural Networks with Koopman Theory"
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authors: "Michele Guerra, Simone Scardapane, Filippo Maria Bianchi"
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figure: "figs/publications/maxcutpool.png"
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figure: "figs/publications/koopman.gif"
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abstract: "We propose an XAI technique based on Koopman theory to interpret temporal graphs and the spatio-temporal Graph Neural Newtworks used to process them. The proposed approach allows to identify nodes and time steps when relevant events occur."
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github: "https://github.com/NGMLGroup/Koopman-TGNN-Interpretability"
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arxiv: "https://arxiv.org/abs/2410.13469"

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