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

38 citations · 38 across the 1 of their papers we have counts for

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cs.LG2020★ 38 cited

Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks

Muhammet Balcilar, Guillaume Renton, Pierre Heroux +3

This paper aims at revisiting Graph Convolutional Neural Networks by bridging the gap between spectral and spatial design of graph convolutions. We theoretically demonstrate some e…