MDEA: Modeling Depressive Emotions Aligned with Knowledge Graphs and Large Language Models-Reference-Cited by-同舟云学术

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MDEA: Modeling Depressive Emotions Aligned with Knowledge Graphs and Large Language Models

Published:2024-08-06 Issue: Volume: Page:84-85
ISSN:
Container-title:2024 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)
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Author:

Zhou Jiehan¹,Shao Kai²,Yu Changrong³,Hao Yixue²,Hu Long²,Chen Min⁴,Zhu Haibin³

Affiliation:

1. Shandong University of Science and Technology,School of Computer Science and Engineering,Qingdao,China

2. Huazhong University of Science and Technology,School of Computer Science and Technology,Wuhan,China

3. Nipissing University,North Bay,Canada

4. South China University of Science and Technology,School of Computer Science and Engineering,Guangzhou,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10667055/10667056/10667092.pdf?arnumber=10667092

Reference10 articles.

1. Perceived emotional invalidation, emotion regulation, depression, and attachment in adults: A moderated-mediation analysis

2. Recognition of Facial Emotion Expressions in Patients with Depressive Disorders: A Prospective, Observational Study

3. The display of frustration in arguments: A multimodal analysis

4. Adapted Dynamic Memory Network for Emotion Recognition in Conversation

5. Dynamic interactive multiview memory network for emotion recognition in conversation

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