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20152026
most citedLearning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples

43 citations · 108 across the 22 of their papers we have counts for

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Showing 2020Show all

1 paper · 1 filter

cs.LG2020★ 33 cited

Path Integral Based Convolution and Pooling for Graph Neural Networks

Zheng Ma, Junyu Xuan, Yu Guang Wang +2

Graph neural networks (GNNs) extends the functionality of traditional neural networks to graph-structured data. Similar to CNNs, an optimized design of graph convolution and poolin…