Graph Neural Networks for molecular property prediction. 10K+ compounds. 85%+ accuracy.
Each node aggregates information from its neighbors. After several layers, atoms "know" about their molecular environment — capturing the chemical context that determines properties.
GNN layers, batching, GPU acceleration
Molecular parsing, feature extraction
Protein structure analysis
Sequence handling, alignments