2 citations · 3 across the 2 of their papers we have counts for
3 papers
cs.LG2021★ 2 cited
Deep Contextual Learners for Protein Networks
Michelle M. Li, Marinka Zitnik
Spatial context is central to understanding health and disease. Yet reference protein interaction networks lack such contextualization, thereby limiting the study of where protein…
cs.AI2021★ 1 cited
Discrepancies in Epidemiological Modeling of Aggregated Heterogeneous Data
Anna L. Trella, Peniel N. Argaw, Michelle M. Li +1
Within epidemiological modeling, the majority of analyses assume a single epidemic process for generating ground-truth data. However, this assumed data generation process can be un…
cs.LG2020
Subgraph Neural Networks
Emily Alsentzer, Samuel G. Finlayson, Michelle M. Li +1
Deep learning methods for graphs achieve remarkable performance on many node-level and graph-level prediction tasks. However, despite the proliferation of the methods and their suc…