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20192026
most citedVariational Inference for Graph Convolutional Networks in the Absence of Graph Data and Adversarial Settings

33 citations · 33 across the 4 of their papers we have counts for

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cs.LG2022

Addressing Over-Smoothing in Graph Neural Networks via Deep Supervision

Pantelis Elinas, Edwin V. Bonilla

Learning useful node and graph representations with graph neural networks (GNNs) is a challenging task. It is known that deep GNNs suffer from over-smoothing where, as the number o…