Basics of graph theory

Representation of biological data as graphs

Different types of graph neural networks (GNNs)

Applications of GNNs in biology

Spectral GNNs

Spatial GNNs

Message passing GNNs

Attention-based GNNs

Hybrid GNNs

Drug discovery

Protein-protein interaction prediction

Gene regulatory network analysis

Biomedical image analysis

Single-cell RNA-seq analysis

Students will work on individual or group projects to apply GNNs to solve real-world biological problems.