Jacob Chmura

According to our database, Jacob Chmura authored at least 5 papers between 2020 and 2025.

Collaborative distances:

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

2025

TGM: a Modular and Efficient Library for Machine Learning on Temporal Graphs.

Jacob Chmura, Shenyang Huang, Tran Gia Bao Ngo, Ali Parviz, Farimah Poursafaei, Jure Leskovec, Michael M. Bronstein, Guillaume Rabusseau, Matthias Fey, Reihaneh Rabbany

CoRR, October, 2025

Plausibility Vaccine: Injecting LLM Knowledge for Event Plausibility.

Jacob Chmura, Jonah Dauvet, Sebastian Sabry

CoRR, March, 2025

Temporal Graph Learning Workshop.

Shenyang Huang, Daniele Zambon, Andrea Cini, Farimah Poursafaei, Jacob Chmura, Julia Gastinger, Reihaneh Rabbany, Michael M. Bronstein

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

2023

Information Content Exploration.

Jacob Chmura, Hasham Burhani, Xiao Qi Shi

CoRR, 2023

2020

Genome Gerrymandering: Optimal Division of the Genome into Regions with Cancer Type SpecificDifferences in Mutation Rates.

Adamo Young, Jacob Chmura, Yoon-Sik Park, Quaid Morris, Gurnit Atwal

Proceedings of the Pacific Symposium on Biocomputing 2020, 2020