Utilizing graphical neural networks and embeddings on a medical database KEGG to perform link predictions and drug similarity systems.
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Updated
Oct 2, 2021 - Jupyter Notebook
Utilizing graphical neural networks and embeddings on a medical database KEGG to perform link predictions and drug similarity systems.
Implementation of Question Answering system based on Ampligraph
Bachelor Project, this repository contains the implementation of a task-oriented conversational agent designed to automate the student mentorship process. By leveraging Knowledge Graphs (KG) and KG Embedding models, the system provides personalized support by extracting and reasoning over university regulations.
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