Multiscale Structural Information-Based Laplacian Generative Adversarial Network Representation Learning

In recent years, network representation learning (NRL) has attracted increasing attention due to its efficiency and effectiveness to analyze network structural data. NRL aims to learn low-dimensional representations of nodes while preserving their structural information, and preserving multiscale st...

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Үндсэн зохиолчид:	Yan Liu, Xi Chen, Zheng Lu, Ziyue Wu
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	IEEE 2025-01-01
Цуврал:	IEEE Access
Нөхцлүүд:	Adversarial learning Laplacian pyramid network representation learning shift positive pointwise mutual information matrix
Онлайн хандалт:	https://ieeexplore.ieee.org/document/10965639/
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!