protein-protein interaction (PPI) networks
Emerging3papers using it
2025first seen
Protein-protein interaction (PPI) networks are datasets that represent the interactions between proteins in biological systems and are used to evaluate the performance of graph-based machine learning models in tasks such as cancer subtype classification.
Papers using protein-protein interaction (PPI) networks (3)
- Interpretable Graph Kolmogorov-Arnold Networks for Multi-Cancer Classification and Biomarker Identification using Multi-Omics DataProteomic Learning of Gamma-Aminobutyric Acid (GABA) Receptor-Mediated
AnesthesiaInformed, but Not Always Improved: Challenging the Benefit of Background Knowledge in GNNs