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06/07/2023
Enabling tabular deep learning when d ≫ n with an auxiliary knowledge graph
Machine learning models exhibit strong performance on datasets with abun...
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05/23/2023
Uncertainty Quantification over Graph with Conformalized Graph Neural Networks
Graph Neural Networks (GNNs) are powerful machine learning prediction mo...
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12/07/2022
Learn to Explore: on Bootstrapping Interactive Data Exploration with Meta-learning
Interactive data exploration (IDE) is an effective way of comprehending ...
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10/26/2022
TuneUp: A Training Strategy for Improving Generalization of Graph Neural Networks
Despite many advances in Graph Neural Networks (GNNs), their training st...
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05/03/2021
Machine Learning Applications for Therapeutic Tasks with Genomics Data
Thanks to the increasing availability of genomics and other biomedical d...
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04/11/2021
Representation Learning for Networks in Biology and Medicine: Advancements, Challenges, and Opportunities
With the remarkable success of representation learning in providing powe...
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02/08/2021
HINT: Hierarchical Interaction Network for Trial Outcome Prediction Leveraging Web Data
Clinical trials are crucial for drug development but are time consuming,...
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11/12/2020
An Interpretable End-to-end Fine-tuning Approach for Long Clinical Text
Unstructured clinical text in EHRs contains crucial information for appl...
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10/05/2020
MolDesigner: Interactive Design of Efficacious Drugs with Deep Learning
The efficacy of a drug depends on its binding affinity to the therapeuti...
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10/04/2020
SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summarization
Thanks to the increasing availability of drug-drug interactions (DDI) da...
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06/14/2020
Graph Meta Learning via Local Subgraphs
Prevailing methods for graphs require abundant label and edge informatio...
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04/30/2020
SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks
Molecular interaction networks are powerful resources for the discovery....
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04/23/2020
MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction
Drug target interaction (DTI) prediction is a foundational task for in s...
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04/19/2020
DeepPurpose: a Deep Learning Based Drug Repurposing Toolkit
We present DeepPurpose, a deep learning toolkit for simple and efficient...
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12/27/2019
Clinical XLNet: Modeling Sequential Clinical Notes and Predicting Prolonged Mechanical Ventilation
Clinical notes contain rich data, which is unexploited in predictive mod...
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11/15/2019
CASTER: Predicting Drug Interactions with Chemical Substructure Representation
Adverse drug-drug interactions (DDIs) remain a leading cause of morbidit...
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04/10/2019
ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission
Clinical notes contain information about patients that goes beyond struc...
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09/24/2018
