ItemBook Chapter

Evaluating the Effectiveness of GraphSAGE with Reinforcement Learning in Suicide Risk Prediction

Title
Evaluating the Effectiveness of GraphSAGE with Reinforcement Learning in Suicide Risk Prediction
Creator
Rappai, Sherin; Ramasamy, Gobi; Rohini, V.; Bagula, Antonie
Description
Suicide is considered to be a major mental health issue that has affected most individuals worldwide. According to World Health Organization, it shows the rise of suicidal rates among students has increased drastically. This vulnerability shows the rising need to encounter this issue with immediate effect. Therefore, proper detection methods have to be incorporated so that we can reduce the number of suicidal rates. Many computational models were implemented to address this issue. This study was conducted to compare various algorithms such as traditional machine learning models random forest and also various deep learning models like GraphSAGE, Graph Convolutional Network, Convolutional Neural Network, and Convolutional Neural Network with Long Short Term Memory with the proposed GraphSAGE Reinforcement Learning. The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.
Source
Studies in Systems, Decision and Control;Volume;645;pp.465-476
Date
01-01-2026
Publisher
Springer Science and Business Media Deutschland GmbH
Subject
Adolescents; CNN; CNN-LSTM; Graph Convolutional Neural Network; GraphSAGE; Random Forest; Reinforcement learning; Suicide ideation
Coverage
Rappai S., Department of Computer Science, Kristu Jayanti College, Autonomous, Karnataka, Bengaluru, India; Ramasamy G., Department of Computer Science, Christ (Deemed to be University), Karnataka, Bengaluru, India; Rohini V., Department of Computer Science, Christ (Deemed to be University), Karnataka, Bengaluru, India; Bagula A., Department of Computer Science, University of Western Cape, Cape Town, South Africa
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISSN: 21984182;
Format
online
Language
English
Type
Book chapter

Citation

Rappai, Sherin; Ramasamy, Gobi; Rohini, V.; Bagula, Antonie, “Evaluating the Effectiveness of GraphSAGE with Reinforcement Learning in Suicide Risk Prediction,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/24093.

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