MOLIERE: Automatic Biomedical Hypothesis Generation System. - Justin Sybrandt; Michael Shtutman; Ilya Safro (KDD, 2017)

To Agile, or not to Agile: A Comparison of Software Development Methodologies. - Ruslan Shaydulin; Justin Sybrandt (CoRR, 2017)

Are Abstracts Enough for Hypothesis Generation? - Justin Sybrandt; Angelo Carrabba; Alexander Herzog; Ilya Safro (IEEE BigData, 2018)

Large-Scale Validation of Hypothesis Generation Systems via Candidate Ranking. - Justin Sybrandt; Michael Shtutman; Ilya Safro (IEEE BigData, 2018)

Validation and Topic-driven Ranking for Biomedical Hypothesis Generation Systems. - Justin Sybrandt; Ilya Safro (CoRR, 2018)

FOBE and HOBE: First- and High-Order Bipartite Embeddings. - Justin Sybrandt; Ilya Safro (CoRR, 2019)

Accelerating Text Mining Using Domain-Specific Stop Word Lists. - Farah Alshanik; Amy W. Apon; Alexander Herzog; Ilya Safro; Justin Sybrandt (IEEE BigData, 2020)

AGATHA: Automatic Graph Mining And Transformer based Hypothesis Generation Approach. - Justin Sybrandt; Ilya Tyagin; Michael Shtutman; Ilya Safro (CIKM, 2020)

CBAG: Conditional Biomedical Abstract Generation. - Justin Sybrandt; Ilya Safro (CoRR, 2020)

Unsupervised Hierarchical Graph Representation Learning by Mutual Information Maximization. - Fei Ding; Xiaohong Zhang; Justin Sybrandt; Ilya Safro (CoRR, 2020)

Accelerating COVID-19 Research with Graph Mining and Transformer-Based Learning. - Ilya Tyagin; Ankit Kulshrestha; Justin Sybrandt; Krish Matta; Michael Shtutman; Ilya Safro (AAAI, 2022)

Hypergraph Partitioning With Embeddings. - Justin Sybrandt; Ruslan Shaydulin; Ilya Safro (IEEE Trans. Knowl. Data Eng., 2022)

SmartChoices: Augmenting Software with Learned Implementations. - Daniel Golovin; Gábor Bartók; Eric Chen; Emily Donahue; Tzu-Kuo Huang; Efi Kokiopoulou; Ruoyan Qin; Nikhil Sarda; Justin Sybrandt; Vincent Tjeng (CoRR, 2023)

Literature-based Discovery for Landscape Planning. - David Marasco; Ilya Tyagin; Justin Sybrandt; James H. Spencer; Ilya Safro (CoRR, 2023)