Curriculum–Vacancy–Course Recommendation Model Based on Knowledge Graphs, Sentence Transformers, and Graph Neural Networks

This article addresses the task of building personalized educational recommendations based on a heterogeneous knowledge graph that integrates data from university curricula, job vacancies, and online courses. To solve the problem of course recommendations by their relevance to a user’s competencies,...

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Bibliographic Details

Published in:	Technologies
Main Authors:	Valiya Ramazanova, Madina Sambetbayeva, Sandugash Serikbayeva, Aigerim Yerimbetova, Zhanar Lamasheva, Zhanna Sadirmekova, Gulzhamal Kalman
Format:	Article
Language:	English
Published:	MDPI AG 2025-08-01
Subjects:	graph neural network (GNN) ontology domain integration heterogeneous knowledge graph personalized recommendations link regression
Online Access:	https://www.mdpi.com/2227-7080/13/8/340