2 papers
cs.LG2020
Predicting Biomedical Interactions with Higher-Order Graph Convolutional Networks
Kishan KC, Rui Li, Feng Cui +1
Biomedical interaction networks have incredible potential to be useful in the prediction of biologically meaningful interactions, identification of network biomarkers of disease, a…
cs.LG2020
Interpretable Structured Learning with Sparse Gated Sequence Encoder for Protein-Protein Interaction Prediction
Kishan KC, Feng Cui, Anne Haake +1
Predicting protein-protein interactions (PPIs) by learning informative representations from amino acid sequences is a challenging yet important problem in biology. Although various…