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20192025
most citedBridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks

38 citations · 73 across the 10 of their papers we have counts for

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Showing 2021Show all

1 paper · 1 filter

cs.LG2021★ 28 cited

Breaking the Limits of Message Passing Graph Neural Networks

Muhammet Balcilar, Pierre Héroux, Benoit Gaüzère +3

Since the Message Passing (Graph) Neural Networks (MPNNs) have a linear complexity with respect to the number of nodes when applied to sparse graphs, they have been widely implemen…