Justin Sybrandt

According to our database, Justin Sybrandt authored at least 14 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Literature-based Discovery for Landscape Planning.

David Marasco, Ilya Tyagin, Justin Sybrandt, James H. Spencer, Ilya Safro

CoRR, 2023

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

2022

Hypergraph Partitioning With Embeddings.

Justin Sybrandt, Ruslan Shaydulin, Ilya Safro

IEEE Trans. Knowl. Data Eng., 2022

Accelerating COVID-19 Research with Graph Mining and Transformer-Based Learning.

Ilya Tyagin, Ankit Kulshrestha, Justin Sybrandt, Krish Matta, Michael Shtutman, Ilya Safro

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020

Unsupervised Hierarchical Graph Representation Learning by Mutual Information Maximization.

Fei Ding, Xiaohong Zhang, Justin Sybrandt, Ilya Safro

CoRR, 2020

CBAG: Conditional Biomedical Abstract Generation.

Justin Sybrandt, Ilya Safro

CoRR, 2020

AGATHA: Automatic Graph Mining And Transformer based Hypothesis Generation Approach.

Justin Sybrandt, Ilya Tyagin, Michael Shtutman, Ilya Safro

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Accelerating Text Mining Using Domain-Specific Stop Word Lists.

Farah Alshanik, Amy W. Apon, Alexander Herzog, Ilya Safro, Justin Sybrandt

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

FOBE and HOBE: First- and High-Order Bipartite Embeddings.

Justin Sybrandt, Ilya Safro

CoRR, 2019

2018

Validation and Topic-driven Ranking for Biomedical Hypothesis Generation Systems.

Justin Sybrandt, Ilya Safro

CoRR, 2018

Large-Scale Validation of Hypothesis Generation Systems via Candidate Ranking.

Justin Sybrandt, Michael Shtutman, Ilya Safro

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Are Abstracts Enough for Hypothesis Generation?

Justin Sybrandt, Angelo Carrabba, Alexander Herzog, Ilya Safro

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

To Agile, or not to Agile: A Comparison of Software Development Methodologies.

Ruslan Shaydulin, Justin Sybrandt

CoRR, 2017

MOLIERE: Automatic Biomedical Hypothesis Generation System.

Justin Sybrandt, Michael Shtutman, Ilya Safro

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017