Search Results for author: Michelle M. Li

Found 4 papers, 2 papers with code

Discrepancies in Epidemiological Modeling of Aggregated Heterogeneous Data

1 code implementation20 Jun 2021 Anna L. Trella, Peniel N. Argaw, Michelle M. Li, James A. Hay

We evaluate two data-generating models within this Bayesian inference framework: a simple exponential growth model and a highly flexible Gaussian process prior model.

Bayesian Inference

Deep Contextual Learners for Protein Networks

no code implementations4 Jun 2021 Michelle M. Li, Marinka Zitnik

We construct a multi-scale network of the Human Cell Atlas and apply AWARE to learn protein, cell type, and tissue embeddings that uphold cell type and tissue hierarchies.


Graph Representation Learning in Biomedicine

no code implementations11 Apr 2021 Michelle M. Li, Kexin Huang, Marinka Zitnik

Biomedical networks (or graphs) are universal descriptors for systems of interacting elements, from molecular interactions and disease co-morbidity to healthcare systems and scientific knowledge.

BIG-bench Machine Learning Graph Representation Learning

Subgraph Neural Networks

1 code implementation NeurIPS 2020 Emily Alsentzer, Samuel G. Finlayson, Michelle M. Li, Marinka Zitnik

Deep learning methods for graphs achieve remarkable performance on many node-level and graph-level prediction tasks.

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