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# HComP-Net: Hierarchy aligned Commonality through Prototypical Networks
This repository presents the PyTorch code for **HComP-Net** (**H**ierarchy aligned **Com**monality through **P**rototypical **Net**works)
# HComP-Net: Hierarchy-aligned Commonality through Prototypical Networks
[**Project Page**](https://imageomics.github.io/HComPNet/) | [**ArXIV**](https://arxiv.org/abs/2409.02335)

This repository presents the PyTorch code for the paper [What Do You See in Common? Learning Hierarchical Prototypes over Tree-of-Life to Discover Evolutionary Traits.](https://arxiv.org/abs/2409.02335))

[Project Page](https://imageomics.github.io/HComPNet/)

**HComP-Net** is an hierarchical interpretable image classification framework that can be applied to discover potential evolutionary traits from images by making use of the Phylogenetic tree also called as Tree-Of-Life. HComPNet generates hypothesis for potential evolutionary traits by learning semantically meaningful non-over-specific prototypes at each internal node of the hierarchy.

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