1.5k citations · 6.9k across the 102 of their papers we have counts for
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Beyond Low Earth Orbit: Biomonitoring, Artificial Intelligence, and Precision Space Health
Ryan T. Scott, Erik L. Antonsen, Lauren M. Sanders +53
Human space exploration beyond low Earth orbit will involve missions of significant distance and duration. To effectively mitigate myriad space health hazards, paradigm shifts in d…
Sparse dictionary learning recovers pleiotropy from human cell fitness screens
Joshua Pan, Jason J. Kwon, Jessica A. Talamas +7
In high-throughput functional genomic screens, each gene product is commonly assumed to exhibit a singular biological function within a defined protein complex or pathway. In pract…
Graph-Guided Network for Irregularly Sampled Multivariate Time Series
Xiang Zhang, Marko Zeman, Theodoros Tsiligkaridis +1
In many domains, including healthcare, biology, and climate science, time series are irregularly sampled with varying time intervals between successive readouts and different subse…
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…
Probing GNN Explainers: A Rigorous Theoretical and Empirical Analysis of GNN Explanation Methods
Chirag Agarwal, Marinka Zitnik, Himabindu Lakkaraju
As Graph Neural Networks (GNNs) are increasingly being employed in critical real-world applications, several methods have been proposed in recent literature to explain the predicti…
Graph Representation Learning in Biomedicine
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 scient…