13 citations · 25 across the 2 of their papers we have counts for
2 papers
cs.LG2019★ 13 cited
Towards Probabilistic Generative Models Harnessing Graph Neural Networks for Disease-Gene Prediction
Vikash Singh, Pietro Lio'
Disease-gene prediction (DGP) refers to the computational challenge of predicting associations between genes and diseases. Effective solutions to the DGP problem have the potential…
q-bio.GN2019★ 12 cited
ncRNA Classification with Graph Convolutional Networks
Emanuele Rossi, Federico Monti, Michael Bronstein +1
Non-coding RNA (ncRNA) are RNA sequences which don't code for a gene but instead carry important biological functions. The task of ncRNA classification consists in classifying a gi…