Resolving Power Equipment Data Inconsistency via Heterogeneous Network Alignment

Resolving Power Equipment Data Inconsistency via Heterogeneous Network Alignment

This paper studies the problem of resolving data inconsistency from multiple sources in managing data related to power equipment for China’s state grid corporation. This paper proposes HENGE, a HEtetrogeneous Network GEneration model, to automatically align inconsistent devices from multi...

Full description

Bibliographic Details
Main Authors: Yuxiang Cai, Xin Jiang, Yang Li, Xiangyu He, Chen Lin
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Data inconsistency
disentangled representation learning
graph alignment
graph neural network
uniformity autoencoder
Online Access:https://ieeexplore.ieee.org/document/10061403/

Internet

https://ieeexplore.ieee.org/document/10061403/

Similar Items