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Implementation of fusion learning approach that integrates graph-based and sequence-based model to enhance molecular property prediction for optimised drug discovery pipeline.

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Name		Name	Last commit message	Last commit date
Latest commit History 30 Commits
.vscode		.vscode
Plot_data		Plot_data
Report		Report
TraGT		TraGT
TraGT_v2_recon		TraGT_v2_recon
TraGT_v2_recon_bace		TraGT_v2_recon_bace
TraGT_v3		TraGT_v3
TraGT_v4_new_arch		TraGT_v4_new_arch
input		input
original_datasets		original_datasets
other_models		other_models
output		output
saved_models		saved_models
.gitattributes		.gitattributes
README.md		README.md
loss_plot.ipynb		loss_plot.ipynb
report.py		report.py
tsnp_plot.ipynb		tsnp_plot.ipynb

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TraGT

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Implementation of fusion learning approach that integrates graph-based and sequence-based model to enhance molecular property prediction for optimised drug discovery pipeline.

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