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,...

Full description

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

Similar Items

Development of a Knowledge Graph-Based Model for Recommending MOOCs to Supplement University Educational Programs in Line With Employer Requirements
by: Valiya Ramazanova, et al.
Published: (2024-01-01)

GDLL: A Scalable and Share Nothing Architecture Based Distributed Graph Neural Networks Framework
by: Duong Thi Thu Van, et al.
Published: (2022-01-01)

Fast and adaptive dynamics-on-graphs to dynamics-of-graphs translation
by: Lei Zhang, et al.
Published: (2023-11-01)

Graph Coloring Algorithm Based on Minimal Cost Graph Neural Network
by: Ming Gao, et al.
Published: (2024-01-01)

Graph Neural Networks Using Local Descriptions in Attributed Graphs: An Application to Symbol Recognition and Hand Written Character Recognition
by: Nadeem Iqbal Kajla, et al.
Published: (2021-01-01)

Identifying obfuscated code through graph-based semantic analysis of binary code
by: Roxane Cohen, et al.
Published: (2025-09-01)

Predicting the Aggregate Mobility of a Vehicle Fleet within a City Graph
by: J. Fernando Sánchez-Rada, et al.
Published: (2024-04-01)

Graph Embedding Models: A Survey
by: YUAN Lining, LI Xin, WANG Xiaodong, LIU Zhao
Published: (2022-01-01)

Isomorphic Graph Classification Model Based on Reconstruction Error
by: JIANG Guangfeng, HU Pengcheng, YE Hua, YANG Yanlan
Published: (2022-01-01)

Knowledge Graph Completion Based on Logical Rules and Graph Neural Network
by: LIU Chunyu, CHEN Qingfeng, MO Shaocong, XIE Ze
Published: (2025-03-01)

GDRMA: Graph Neural Networks for Document Retrievals With Mean Aggregation
by: Shigeru Maya
Published: (2024-01-01)

Graph neural network based approach to automatically assigning common weakness enumeration identifiers for vulnerabilities
by: Peng Liu, et al.
Published: (2023-11-01)

Graph Neural Network Recommendation Algorithm Based on Multimodal Fusion
by: Zhiqiang WU, Qing XIE, Lin LI, Yongjian LIU
Published: (2024-01-01)

Circuit Dynamics Prediction via Graph Neural Network & Graph Framework Integration: Three Phase Inverter Case Study
by: Ahmed K. Khamis, et al.
Published: (2024-01-01)

Advancing Brain Tumor Segmentation with Spectral–Spatial Graph Neural Networks
by: Sina Mohammadi, et al.
Published: (2024-04-01)

Editorial: Graph learning for brain imaging
by: Feng Liu, et al.
Published: (2022-08-01)

Comprehensive Mapping of Continuous/Switching Circuits in CCM and DCM to Machine Learning Domain Using Homogeneous Graph Neural Networks
by: Ahmed K. Khamis, et al.
Published: (2023-01-01)

Convolutional Neural Network Outperforms Graph Neural Network on the Spatially Variant Graph Data
by: Anna Boronina, et al.
Published: (2023-05-01)

Enhancing Small Language Models for Graph Tasks Through Graph Encoder Integration
by: Dongryul Oh, et al.
Published: (2025-02-01)

Multi-Relational Graph Representation Learning for Financial Statement Fraud Detection
by: Chenxu Wang, et al.
Published: (2024-09-01)

Attention-Aware Heterogeneous Graph Neural Network
by: Jintao Zhang, et al.
Published: (2021-12-01)

Sequence Recommendation Algorithm of Graph Neural Networks Based on Complex Structure Information
by: HU Chengzuo, WANG Qingmei, LI Dichao, WANG Zheng
Published: (2022-05-01)

A Graph Neural Network Node Classification Application Model with Enhanced Node Association
by: Yuhang Zhang, et al.
Published: (2023-06-01)

Graph Construction on Whole Image Slides Based on Attention and Learnable Threshold
by: CHEN Depin, ZHAO Shen, JIAO Yiping, WANG Xiangxue, LÜ Hong, XU Jun
Published: (2025-03-01)

Graph-Attention Diffusion for Enhanced Multivariate Time-Series Anomaly Detection
by: Vadim Lanko, et al.
Published: (2024-01-01)

GR-GNN: Gated Recursion-Based Graph Neural Network Algorithm
by: Kao Ge, et al.
Published: (2022-04-01)

Enhanced knowledge graph recommendation algorithm based on multi-level contrastive learning
by: Zhang Rong, et al.
Published: (2024-10-01)

Intrusion Detection Model Based on Graph Edge Feature Attention
by: SHEN Xueli, LIU Shifeng
Published: (2024-11-01)

D3GNN: Double dual dynamic graph neural network for multisource remote sensing data classification
by: Teng Yang, et al.
Published: (2025-05-01)

Session Recommendation Based on Global Graph and Multi-granularity Intention Unit
by: Wanhua LI, Yingjuan SUN, Yixuan LIU, Qian LIU
Published: (2023-10-01)

Graph neural network based method for robot path planning
by: Xingrong Diao, et al.
Published: (2024-03-01)

Evaluating Ontology-Based PD Monitoring and Alerting in Personal Health Knowledge Graphs and Graph Neural Networks
by: Nikolaos Zafeiropoulos, et al.
Published: (2024-02-01)

Knowledge-Enhanced Graph Neural Network Model for Sequential Recommendation
by: LI Pan, XIE Qing, LI Lin, LIU Yongjian
Published: (2023-02-01)

SkyMap: a generative graph model for GNN benchmarking
by: Axel Wassington, et al.
Published: (2024-11-01)

Detecting Drug–Target Interactions with Feature Similarity Fusion and Molecular Graphs
by: Xiaoli Lin, et al.
Published: (2022-06-01)

Self-Supervised Learning Based on Graph Structural Clustering for Disease Diagnosis Method
by: Zhengkang ZHANG, Dan YANG, Tiezheng NIE, Yue KOU
Published: (2024-07-01)

A Scalable Deep Network for Graph Clustering via Personalized PageRank
by: Yulin Zhao, et al.
Published: (2022-05-01)

Modularization Method to Reuse Medical Knowledge Graphs
by: Maricela Bravo, et al.
Published: (2022-11-01)

Disease ontologies for knowledge graphs
by: Natalja Kurbatova, et al.
Published: (2021-07-01)

PhishingGNN: Phishing Email Detection Using Graph Attention Networks and Transformer-Based Feature Extraction
by: Mejdl Safran, et al.
Published: (2025-01-01)