Biological Network Embedding

Introduction Network embedding aims to learn lower dimensional representations of nodes in the network, that enables to use off-the-shelf machine learning algorithms for downstream tasks such as Node classification, Link Prediction, Clustering and Visualization. In biology, various components of a living cell within an organism interacts with each other to carry the basic functionalities. For example, protein interacts with other proteins to carry biological processes. Proteins and their interactions can be modeled as a network, where protein are nodes and interactions are edges connecting corresponding proteins.