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Distributed-Order Fractional Graph Operating Network

Neural Information Processing Systems

We introduce the Distributed-order fRActional Graph Operating Network (DRAGON), a novel continuous Graph Neural Network (GNN) framework that incorporates distributed-order fractional calculus.






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Neural Information Processing Systems

A common approach to create more expressive GNNs is to change the message passing function of MPNNs. If a GNN is more expressive than MPNNs by adapting the message passing function, we call this non-standard message passing . Examples of this are message passing variants that operate on subgraphs [Frasca et al., 2022, Bevilacqua




Tarique Rahman sworn in as Prime Minister of Bangladesh

Al Jazeera

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