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- research-articleJuly 2024
Negative-sample-free knowledge graph embedding
Data Mining and Knowledge Discovery (DMKD), Volume 38, Issue 6Pages 3590–3620https://doi.org/10.1007/s10618-024-01052-9AbstractRecently, knowledge graphs (KGs) have been shown to benefit many machine learning applications in multiple domains (e.g. self-driving, agriculture, bio-medicine, recommender systems, etc.). However, KGs suffer from incompleteness, which motivates ...
- research-articleJuly 2024
JobEdKG: An uncertain knowledge graph-based approach for recommending online courses and predicting in-demand skills based on career choices
Engineering Applications of Artificial Intelligence (EAAI), Volume 131, Issue Chttps://doi.org/10.1016/j.engappai.2023.107779AbstractModern job markets often require an intricate combination of multi-disciplinary skills or specialist and technical knowledge, even for entry-level positions. Such requirements pose increased pressure on students, new graduates, and job seekers to ...