1 citations · 2 across the 2 of their papers we have counts for
3 papers
A Unified View of Relational Deep Learning for Drug Pair Scoring
Benedek Rozemberczki, Stephen Bonner, Andriy Nikolov +3
In recent years, numerous machine learning models which attempt to solve polypharmacy side effect identification, drug-drug interaction prediction and combination therapy design ta…
Explainable Biomedical Recommendations via Reinforcement Learning Reasoning on Knowledge Graphs
Gavin Edwards, Sebastian Nilsson, Benedek Rozemberczki +1
For Artificial Intelligence to have a greater impact in biology and medicine, it is crucial that recommendations are both accurate and transparent. In other domains, a neurosymboli…
MOOMIN: Deep Molecular Omics Network for Anti-Cancer Drug Combination Therapy
Benedek Rozemberczki, Anna Gogleva, Sebastian Nilsson +3
We propose the molecular omics network (MOOMIN) a multimodal graph neural network used by AstraZeneca oncologists to predict the synergy of drug combinations for cancer treatment.…