most citedGraph Neural Network with Curriculum Learning for Imbalanced Node Classification

6 citations · 6 across the 1 of their papers we have counts for

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1 paper

cs.LG2022★ 6 cited

Graph Neural Network with Curriculum Learning for Imbalanced Node Classification

Xiaohe Li, Lijie Wen, Yawen Deng +4

Graph Neural Network (GNN) is an emerging technique for graph-based learning tasks such as node classification. In this work, we reveal the vulnerability of GNN to the imbalance of…