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05/16/2023
Clinical Note Owns its Hierarchy: Multi-Level Hypergraph Neural Networks for Patient-Level Representation Learning
Leveraging knowledge from electronic health records (EHRs) to predict a ...
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09/16/2022
SPGP: Structure Prototype Guided Graph Pooling
While graph neural networks (GNNs) have been successful for node classif...
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05/26/2022
Triangular Contrastive Learning on Molecular Graphs
Recent contrastive learning methods have shown to be effective in variou...
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12/13/2021
Sparse Structure Learning via Graph Neural Networks for Inductive Document Classification
Recently, graph neural networks (GNNs) have been widely used for documen...
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04/26/2021
Handling Long-Tail Queries with Slice-Aware Conversational Systems
We have been witnessing the usefulness of conversational AI systems such...
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04/24/2020
TeamTat: a collaborative text annotation tool
Manually annotated data is key to developing text-mining and information...
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12/23/2019
BioConceptVec: creating and evaluating literature-based biomedical concept embeddings on a large scale
Capturing the semantics of related biological concepts, such as genes an...
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09/06/2019
Deep learning with sentence embeddings pre-trained on biomedical corpora improves the performance of finding similar sentences in electronic medical records
Capturing sentence semantics plays a vital role in a range of text minin...
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02/26/2018
A Fast Deep Learning Model for Textual Relevance in Biomedical Information Retrieval
Publications in the life sciences are characterized by a large technical...
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11/16/2017
Hybrid Approach of Relation Network and Localized Graph Convolutional Filtering for Breast Cancer Subtype Classification
Network biology has been successfully used to help reveal complex mechan...
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08/05/2016
