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Author

Fernando Buarque de Lima Neto

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2 papers indexed here

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#graph neural networks Open access Sep 2026

Integrating Danger Theory into Graph Neural Networks for Early Warning Fake News Detection

The rapid propagation of fake news on social media poses a significant threat to society, demanding detection methods that are not only accurate but also timely. While Graph Neural Networks (GNNs) are powerful tools for modeling propagation cascades, they often struggle in early detection scenarios where structural inf...

Mateus Amorim Silva, Paulo Roberto Varjal de Melo, Fernando Buarque de Lima Neto · 0 citations
#graph neural networks Open access Sep 2026

Integrating Danger Theory into Graph Neural Networks for Early Warning Fake News Detection

The rapid propagation of fake news on social media poses a significant threat to society, demanding detection methods that are not only accurate but also timely. While Graph Neural Networks (GNNs) are powerful tools for modeling propagation cascades, they often struggle in early detection scenarios where structural inf...

Mateus Amorim Silva, Paulo Roberto Varjal de Melo, Fernando Buarque de Lima Neto · 0 citations

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