Thomas Bailie

According to our database, Thomas Bailie authored at least 5 papers between 2024 and 2026.

Collaborative distances:

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

2026

HoGA: Higher-Order Graph Attention via Diversity-Aware k-Hop Sampling.

Thomas Bailie, Yun Sing Koh, Surya Karthik Mukkavilli

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

2025

Hierarchical Graph Networks for Accurate Weather Forecasting via Lightweight Training.

Thomas Bailie, S. Karthik Mukkavilli, Varvara Vetrova, Yun Sing Koh

CoRR, October, 2025

Reducing Smoothness with Expressive Memory Enhanced Hierarchical Graph Neural Networks.

Thomas Bailie, Yun Sing Koh, S. Karthik Mukkavilli, Varvara Vetrova

CoRR, April, 2025

2024

Higher Order Graph Attention Probabilistic Walk Networks.

Thomas Bailie, Yun Sing Koh, S. Karthik Mukkavilli

CoRR, 2024

Quantile-Regression-Ensemble: A Deep Learning Algorithm for Downscaling Extreme Precipitation.

Thomas Bailie, Yun Sing Koh, Neelesh Rampal, Peter B. Gibson

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024