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.
Networks Networks are a general language for describing complex systems of interacting entities. It also provides a shared vocabulary between fields: Computer Science, Social Science, Biology, Physics etc.
Biological Networks A biological system is a complex network of various molecular entities such as genes, proteins and other biological molecules linked together by the interactions between these components. The study of the interactions between these molecular entities not only plays a crucial role in understanding biological phenomena but also provides insights about the molecular etiology of diseases as well as the discovery of putative drug targets.