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#machine learning Preprint Nov 2024

MEGA: Message Passing Neural Networks for Multigraphs with EdGe Attributes

This work presents MEGA-GNN, a model-agnostic message-passing framework for edge-attributed multigraphs, and shows that MEGA-GNN is permutation equivariant and has the same asymptotic complexity as standard GNNs with edge updates.

H. Bilgi, Kubilay Atasu, Aggregation Aggregation · 2 citations

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