NaNa and MiGu: Semantic Data Augmentation Techniques to Enhance Protein Classification in Graph Neural Networks

1 code implementation • 21 Mar 2024 • Yi-Shan Lan, Pin-Yu Chen, Tsung-Yi Ho

In this paper, we propose novel semantic data augmentation methods, Novel Augmentation of New Node Attributes (NaNa), and Molecular Interactions and Geometric Upgrading (MiGu) to incorporate backbone chemical and side-chain biophysical information into protein classification tasks and a co-embedding residual learning framework.

Data Augmentation Drug Discovery