40 citations · 44 across the 3 of their papers we have counts for
3 papers
q-bio.QM2022
Predicting Biomedical Interactions with Probabilistic Model Selection for Graph Neural Networks
Kishan KC, Rui Li, Paribesh Regmi +1
Heterogeneous molecular entities and their interactions, commonly depicted as a network, are crucial for advancing our systems-level understanding of biology. With recent advanceme…
cs.LG2020★ 40 cited
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★ 4 cited
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…