Contrastive knowledge integrated graph neural networks for Chinese medical text classification-Reference-Cited by-同舟云学术

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Contrastive knowledge integrated graph neural networks for Chinese medical text classification

Published:2023-06 Issue: Volume:122 Page:106057
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Lan Ge,Hu Mengting^ORCID,Li Ye,Zhang Yuzhi

Funder

National Major Science and Technology Projects of China

Ministry of Science and Technology of the People's Republic of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference62 articles.

1. An ontology-based two-stage approach to medical text classification with feature selection by particle swarm optimisation;Abdollahi,2019

2. A corpus-based semantic kernel for text classification by using meaning values of terms;Altınel;Eng. Appl. Artif. Intell.,2015

3. Translating embeddings for modeling multi-relational data;Bordes;Adv. Neural Inf. Process. Syst.,2013

4. CAFE: Knowledge graph completion using neighborhood-aware features;Borrego;Eng. Appl. Artif. Intell.,2021

5. Dynamic neuro-symbolic knowledge graph construction for zero-shot commonsense question answering;Bosselut,2021

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