Abstract: Highlights•Use neighborhood label distribution information for node representation learning.•Adopt soft labels to better capture neighborhood label distribution.•Employ an attention mechanism to capture neighborhood importance distributions.•Jointly optimize soft label predictor and label-guided graph convolution modules.
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