GraphPI uses graph neural networks on protein-peptide graphs with pseudo-label self-training to perform protein inference that works across datasets without per-dataset retraining and with lower computation time.
Canterbury and Jason Weston and William Stafford Noble and Michael J
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
GraphPI: Efficient Protein Inference with Graph Neural Networks
GraphPI uses graph neural networks on protein-peptide graphs with pseudo-label self-training to perform protein inference that works across datasets without per-dataset retraining and with lower computation time.