A Random Walk Tensor Model for Heterogeneous Network Entity Classification

Heterogeneous network entity classification is to predict the labels of entities in a heterogeneous network which consists of multiple types of relations and multiple types of entities. The existing studies have shown that relations information is critical for improving entity classification perform...

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Bibliographic Details
Main Authors: Chao Han, Zhihang Luo, Wenwen Gu, Jian Chen
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8719898/