3 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.LG2020★ 3 cited
Graph Neural Networks Including Sparse Interpretability
Chris Lin, Gerald J. Sun, Krishna C. Bulusu +2
Graph Neural Networks (GNNs) are versatile, powerful machine learning methods that enable graph structure and feature representation learning, and have applications across many dom…
cs.LG2018★ 3 cited
Predicting Inpatient Discharge Prioritization With Electronic Health Records
Anand Avati, Stephen Pfohl, Chris Lin +7
The paper develops machine‑learning models using eight years of Stanford Hospital electronic health records to predict which inpatients will be discharged within the next 24 hours,…