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HopGAT: Hop-aware Supervision Graph Attention Networks for Sparsely Labeled Graphs [article]

Chaojie Ji, Ruxin Wang, Rongxiang Zhu, Yunpeng Cai, Hongyan Wu
2020 arXiv   pre-print
Compared with state-of-the-art models, the experimental results proved the superior effectiveness of the proposed Hop-aware Supervision Graph Attention Networks (HopGAT) model.  ...  This study first proposes a hop-aware attention supervision mechanism for the node classification task.  ...  Experiments In this section, we evaluate the performance of the proposed hop-aware attention supervision model to address the node classification task on a sparsely labeled graph network.  ... 
arXiv:2004.04333v1 fatcat:mcujini44jbhzfo3wrw7ivl2sq