MetaGNN-Based Medical Records Unstructured Specialized Vocabulary Few-Shot Representation Learning

Author:

Ling Hongxing1ORCID,Luo Guangsheng2ORCID,Yang Yu3ORCID

Affiliation:

1. Business and Information College, Shanghai, China

2. Jiangxi University of Finance and Economics, Nanchang, China

3. AISHU Information Technology Company Ltd., Shanghai, China

Funder

Postdoctoral Station of Management Science and Engineering of Jiangxi University of Finance and Economics and the Technology Research Institute of Shanghai AISHU Information Technology Corporation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Reference44 articles.

1. Inductive representation learning on large graphs;hamilton;Proc NeurIPS,2017

2. Semantic Object Parsing with Local-Global Long Short-Term Memory

3. Meta-learning with warped gradient descent;flennerhag;Proc 8th Int Conf Learn Represent,2020

4. Meta-GNN

5. Convolutional neural networks on graphs with fast localized spectral filtering;defferrard;Proc Conf Workshop Neural Inf Process Syst,2016

Cited by 2 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. Meta-learning in Healthcare: A Survey;SN Computer Science;2024-08-12

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

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