Week 8 - Graph AI I
Required Reading
- Identification of disease treatment mechanisms through the multiscale interactome
- Graph representation learning in biomedicine and healthcare
- Graph AI generates neurological hypotheses validated in molecular, organoid, and clinical systems
Optional Reading
- Representation Learning on Graphs: Methods and Applications
- Network medicine: a network-based approach to human disease
- Modeling polypharmacy side effects with graph convolutional networks
- Uncovering disease-disease relationships through the incomplete interactome
- Sparse dictionary learning recovers pleiotropy from human cell fitness screens
- Network biology concepts in complex disease comorbidities
- Systematic integration of biomedical knowledge prioritizes drugs for repurposing
- node2vec: Scalable feature learning for networks