Meta-Learning Based Dynamic Adaptive Relation Learning for Few-Shot Knowledge Graph Completion-Reference-Cited by-同舟云学术

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Meta-Learning Based Dynamic Adaptive Relation Learning for Few-Shot Knowledge Graph Completion

Published:2023-08 Issue: Volume:33 Page:100394
ISSN:2214-5796
Container-title:Big Data Research
language:en
Short-container-title:Big Data Research

Author:

Cai Linqin,Wang Lingjun,Yuan Rongdi,Lai Tingjie

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Information Systems and Management,Computer Science Applications,Information Systems,Management Information Systems

Reference45 articles.

1. A survey on knowledge graphs: representation, acquisition, and applications;Ji;IEEE Trans. Neural Netw. Learn. Syst.,2022

2. Knowledge graph embedding based question answering;Huang,2019

3. An enhanced multi-modal recommendation based on alternate training with knowledge graph representation;Wang;IEEE Access,2020

4. Topic analysis and development in knowledge graph research: a bibliometric review on three decades;Chen;Neurocomputing,2021

5. Yago: a core of semantic knowledge;Suchanek,2007

Cited by 3 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. Generative adversarial meta-learning knowledge graph completion for large-scale complex knowledge graphs;Journal of Intelligent Information Systems;2024-05-28

2. Relation representation based on private and shared features for adaptive few-shot link prediction;Journal of Intelligent Information Systems;2024-04-10

3. A survey of few-shot knowledge graph completion;Journal of Intelligent & Fuzzy Systems;2023-10-04

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