Self-supervised contrastive learning on heterogeneous graphs with mutual constraints of structure and feature-Reference-Cited by-同舟云学术

Self-supervised contrastive learning on heterogeneous graphs with mutual constraints of structure and feature

Published:2023-09 Issue: Volume:640 Page:119026
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Zhang Qiqi,Zhao Zhongying,Zhou Hui,Li Xiangju,Li Chao

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference42 articles.

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2. Metapath2vec: scalable representation learning for heterogeneous networks;Dong,2017

3. Metapath-guided heterogeneous graph neural network for intent recommendation;Fan,2019

4. MAGNN: metapath aggregated graph neural network for heterogeneous graph embedding;Fu,2020

5. Embedding logical queries on knowledge graphs;Hamilton,2018

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