Yaping Zheng

Graph-DPP: Sampling Diverse Neighboring Nodes via Determinantal Point Process

2020

Recently, various graph neural network based approaches have been proposed to learn graph feature representations. However, there exists a long-term outstanding issue, i.e., over-smoothing problem. That is, when convoluting deeper neighboring nodes, the feature difference …