most citedLearning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples

43 citations · 43 across the 1 of their papers we have counts for

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cs.LG2022★ 43 cited

Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples

Wei Duan, Junyu Xuan, Maoying Qiao +1

Graph Convolutional Neural Networks (GCNs) has been generally accepted to be an effective tool for node representations learning. An interesting way to understand GCNs is to think…