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GitHub / prakhargurawa / Drug-Similarity-and-Link-Prediction-using-Graph-Embeddings-on-Medical-Knowledge-Graph

Utilizing graphical neural networks and embeddings on a medical database KEGG to perform link predictions and drug similarity systems.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/prakhargurawa%2FDrug-Similarity-and-Link-Prediction-using-Graph-Embeddings-on-Medical-Knowledge-Graph

Stars: 12
Forks: 3
Open issues: 0

License: mit
Language: Jupyter Notebook
Size: 8.83 MB
Dependencies parsed at: Pending

Created at: over 3 years ago
Updated at: about 2 years ago
Pushed at: over 3 years ago
Last synced at: about 2 years ago

Topics: ampligraph, biomedical, graph-convolutional-networks, graph-neural-networks, graphs, kegg, knowledge-graph, link-prediction, machine-learning, neural-network

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