Author

N. Hemachandra

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#artificial intelligence Preprint Oct 2026

A Label Noise Robust Algorithm for Graph Data using Neighborhood Label Distribution

Graph Convolutional Networks (GCNs) have demonstrated exceptional performance on graph-structured data. However, their success heavily relies on the availability of clean labels, an assumption that often fails in real-world scenarios. The learnability of GCNs is intrinsically linked to the neighborhood structure of nod...

Pintu Kumar, N. Hemachandra · 0 citations

#protein folding Review Open access Oct 2026

Position-wise Fold-Switch Prediction in Metamorphic Proteins: A Comparison of Handcrafted and Language Model Features

In this work, we focus on predicting fold-switching phenomena observed in certain protein structures. Proteins that undergo fold-switching are called metamorphic proteins. We model fold-switch prediction in proteins as a position/residue-wise classification task. We use various features extracted from a protein’s seque...

Pranav Machingal, N. Hemachandra, P. V. Balaji · bioRxiv · 0 citations