Local Structural Aware Heterogeneous Information Network Embedding Based on Relational Self-Attention Graph Neural Network

Local Structural Aware Heterogeneous Information Network Embedding Based on Relational Self-Attention Graph Neural Network

Heterogeneous Information Networks (HINs) are ubiquitous in our daily life, as they can describe complex interactions among various types of objects. Heterogeneous information network embedding aims to project the network elements of HINs into low-dimensional node representation vectors, which can f...

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Bibliographic Details
Main Authors: Meng Cao, Jinliang Yuan, Ming Xu, Hualei Yu, Chongjun Wang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Graph neural network
heterogeneous information network
network embedding
social network analysis
Online Access:https://ieeexplore.ieee.org/document/9458265/

Internet

https://ieeexplore.ieee.org/document/9458265/

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