Introducing diminutive causal structure into graph representation learning-Reference-Cited by-同舟云学术

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Introducing diminutive causal structure into graph representation learning

Published:2024-06 Issue: Volume:293 Page:111592
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Gao Hang^ORCID,Qiao Peng,Jin Yifan,Wu Fengge^ORCID,Li Jiangmeng^ORCID,Zheng Changwen^ORCID

Funder

Chinese Academy of Sciences

Publisher

Elsevier BV

Reference76 articles.

1. LMKG: A large-scale and multi-source medical knowledge graph for intelligent medicine applications;Yang;Knowl.-Based Syst.,2023

2. A knowledge graph completion model based on contrastive learning and relation enhancement method;Li;Knowl.-Based Syst.,2022

3. Eventkge: Event knowledge graph embedding with event causal transfer;Li;Knowl.-Based Syst.,2023

4. Lightweight source localization for large-scale social networks;Wang,2023

5. Self-supervised graph transformer on large-scale molecular data;Rong,2020

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Graph Causal Contrastive for Partial Label Learning;Lecture Notes in Computer Science;2024

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