LeL-GNN: Learnable Edge Sampling and Line Based Graph Neural Network for Link Prediction

Graph neural networks lose a lot of their computing power when more network layers are added. As a result, the majority of existing graph neural networks have a shallow depth of learning. Over-smoothing and information loss are two of the key issues that restrict graph neural networks from going dee...

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Bibliografiske detaljer

Principais autores:	Md Golam Morshed, Tangina Sultana, Young-Koo Lee
Format:	Artigo
Sprog:	Inglês
Udgivet:	IEEE 2023-01-01
Serier:	IEEE Access
Fag:	Edge sampling deep graph neural networks line graph link prediction
Online adgang:	https://ieeexplore.ieee.org/document/10144318/
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