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AIIM2023-GNNs
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Disnet
GNNs
AIIM2023-GNNs
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c85f5a42
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c85f5a42
authored
Nov 30, 2022
by
ADRIAN AYUSO MUNOZ
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@@ -19,14 +19,5 @@
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visualizeEmbeddings (visualization of embeddings)
## Summary
Using Graph Neural Networks (GNNs) to predict new drug repurposing hypothesis. The objective is to predict new edges between
drugs and diseases (edge inference) or predict the type of edge (drug) between two diseases (edge classification).
One models is generated using DeepSnap library. The model has an encoder-decoder (GraphSAGE-Dot product) architecture,
the use of different architectures will be studied in the future. This is the generated models and its status:
-
🟢
**DeepSnap:**
Passed verification tests, proved to be functional and works well.
### Symbol legend:
-
🟢 : Ready to use.
-
🟡 : Use is not recommended due to major issues.
-
🟠 : Not usable
Repository of the AIIM2023 "" paper.
REDIRECTION stands for dRug rEpurposing Disnet lInk pREdiCTION.
\ No newline at end of file
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