Jacob Danovitch

According to our database, Jacob Danovitch authored at least 7 papers between 2019 and 2024.

Collaborative distances:

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

2024

TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs.

Julia Gastinger, Shenyang Huang, Mikhail Galkin, Erfan Loghmani, Ali Parviz, Farimah Poursafaei, Jacob Danovitch, Emanuele Rossi, Ioannis Koutis, Heiner Stuckenschmidt, Reihaneh Rabbany, Guillaume Rabusseau

CoRR, 2024

2023

Fast and Attributed Change Detection on Dynamic Graphs with Density of States.

Shenyang Huang, Jacob Danovitch, Guillaume Rabusseau, Reihaneh Rabbany

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Temporal Graph Benchmark for Machine Learning on Temporal Graphs.

Shenyang Huang, Farimah Poursafaei, Jacob Danovitch, Matthias Fey, Weihua Hu, Emanuele Rossi, Jure Leskovec, Michael M. Bronstein, Guillaume Rabusseau, Reihaneh Rabbany

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021

The Surprising Performance of Simple Baselines for Misinformation Detection.

Kellin Pelrine, Jacob Danovitch, Reihaneh Rabbany

Proceedings of the WWW '21: The Web Conference 2021, 2021

2020

Linking Social Media Posts to News with Siamese Transformers.

Jacob Danovitch

CoRR, 2020

ComplexDataLab at W-NUT 2020 Task 2: Detecting Informative COVID-19 Tweets by Attending over Linked Documents.

Kellin Pelrine, Jacob Danovitch, Albert Orozco Camacho, Reihaneh Rabbany

Proceedings of the Sixth Workshop on Noisy User-generated Text, 2020

2019

Trouble with the Curve: Predicting Future MLB Players Using Scouting Reports.

Jacob Danovitch

CoRR, 2019