Justin Sybrandt

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 20

Top Topics

Frequently Occurring

Hypergraph Partitioning

Substructure Discovery

Development Methodologies

Top Venues

Publications

David Marasco, Ilya Tyagin, Justin Sybrandt, James H. Spencer, Ilya Safro
Literature-based Discovery for Landscape Planning. CoRR (2023)
Daniel Golovin, Gábor Bartók, Eric Chen, Emily Donahue, Tzu-Kuo Huang, Efi Kokiopoulou, Ruoyan Qin, Nikhil Sarda, Justin Sybrandt, Vincent Tjeng
SmartChoices: Augmenting Software with Learned Implementations. CoRR (2023)
Justin Sybrandt, Ruslan Shaydulin, Ilya Safro
Hypergraph Partitioning With Embeddings. IEEE Trans. Knowl. Data Eng. 34 (6) (2022)
Ilya Tyagin, Ankit Kulshrestha, Justin Sybrandt, Krish Matta, Michael Shtutman, Ilya Safro
Accelerating COVID-19 Research with Graph Mining and Transformer-Based Learning. AAAI (2022)
Ilya Tyagin, Ankit Kulshrestha, Justin Sybrandt, Krish Matta, Michael Shtutman, Ilya Safro
Accelerating COVID-19 research with graph mining and transformer-based learning. CoRR (2021)
Justin Sybrandt, Ilya Safro
CBAG: Conditional Biomedical Abstract Generation. CoRR (2020)
Fei Ding, Xiaohong Zhang, Justin Sybrandt, Ilya Safro
Unsupervised Hierarchical Graph Representation Learning by Mutual Information Maximization. CoRR (2020)
Justin Sybrandt, Ilya Tyagin, Michael Shtutman, Ilya Safro
AGATHA: Automatic Graph Mining And Transformer based Hypothesis Generation Approach. CIKM (2020)
Farah Alshanik, Amy W. Apon, Alexander Herzog, Ilya Safro, Justin Sybrandt
Accelerating Text Mining Using Domain-Specific Stop Word Lists. IEEE BigData (2020)
Justin Sybrandt, Ilya Tyagin, Michael Shtutman, Ilya Safro
AGATHA: Automatic Graph-mining And Transformer based Hypothesis generation Approach. CoRR (2020)
Farah Alshanik, Amy W. Apon, Alexander Herzog, Ilya Safro, Justin Sybrandt
Accelerating Text Mining Using Domain-Specific Stop Word Lists. CoRR (2020)
Justin Sybrandt, Ilya Safro
FOBE and HOBE: First- and High-Order Bipartite Embeddings. CoRR (2019)
Justin Sybrandt, Ruslan Shaydulin, Ilya Safro
Hypergraph Partitioning With Embeddings. CoRR (2019)
Justin Sybrandt, Ilya Safro
Validation and Topic-driven Ranking for Biomedical Hypothesis Generation Systems. CoRR (2018)
Justin Sybrandt, Michael Shtutman, Ilya Safro
Large-Scale Validation of Hypothesis Generation Systems via Candidate Ranking. IEEE BigData (2018)
Justin Sybrandt, Angelo Carrabba, Alexander Herzog, Ilya Safro
Are Abstracts Enough for Hypothesis Generation? CoRR (2018)
Justin Sybrandt, Angelo Carrabba, Alexander Herzog, Ilya Safro
Are Abstracts Enough for Hypothesis Generation? IEEE BigData (2018)
Justin Sybrandt, Michael Shtutman, Ilya Safro
MOLIERE: Automatic Biomedical Hypothesis Generation System. CoRR (2017)
Ruslan Shaydulin, Justin Sybrandt
To Agile, or not to Agile: A Comparison of Software Development Methodologies. CoRR (2017)
Justin Sybrandt, Michael Shtutman, Ilya Safro
MOLIERE: Automatic Biomedical Hypothesis Generation System. KDD (2017)