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20162023
most citedLabeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning

59 citations · 181 across the 11 of their papers we have counts for

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cs.LG2023

NodeMixup: Tackling Under-Reaching for Graph Neural Networks

Weigang Lu, Ziyu Guan, Wei Zhao +2

Graph Neural Networks (GNNs) have become mainstream methods for solving the semi-supervised node classification problem. However, due to the uneven location distribution of labeled…