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06/05/2023
Literature-based Discovery for Landscape Planning
This project demonstrates how medical corpus hypothesis generation, a kn...
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04/12/2023
SmartChoices: Augmenting Software with Learned Implementations
We are living in a golden age of machine learning. Powerful models are b...
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02/10/2021
Accelerating COVID-19 research with graph mining and transformer-based learning
In 2020, the White House released the, "Call to Action to the Tech Commu...
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11/18/2020
Accelerating Text Mining Using Domain-Specific Stop Word Lists
Text preprocessing is an essential step in text mining. Removing words t...
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03/18/2020
Unsupervised Hierarchical Graph Representation Learning by Mutual Information Maximization
Graph representation learning based on graph neural networks (GNNs) can ...
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02/13/2020
CBAG: Conditional Biomedical Abstract Generation
Biomedical research papers use significantly different language and jarg...
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02/13/2020
AGATHA: Automatic Graph-mining And Transformer based Hypothesis generation Approach
Medical research is risky and expensive. Drug discovery, as an example, ...
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09/09/2019
Hypergraph Partitioning With Embeddings
The problem of placing circuits on a chip or distributing sparse matrix ...
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09/09/2019
Partition Hypergraphs with Embeddings
The problem of placing circuits on a chip or distributing sparse matrix ...
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05/27/2019
FOBE and HOBE: First- and High-Order Bipartite Embeddings
Typical graph embeddings may not capture type-specific bipartite graph f...
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04/13/2018
Are Abstracts Enough for Hypothesis Generation?
The potential for automatic hypothesis generation (HG) systems to improv...
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02/11/2018
Validation and Topic-driven Ranking for Biomedical Hypothesis Generation Systems
Literature underpins research, providing the foundation for new ideas. B...
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02/20/2017