On Graph Neural Network Ensembles for Large-Scale Molecular Property Prediction. - Edward Elson Kosasih; Joaquín Cabezas; Xavier Sumba; Piotr Bielak; Kamil Tagowski; Kelvin Idanwekhai; Benedict Aaron Tjandra; Arian Rokkum Jamasb (CoRR, 2021)

Fine-Tuning Large Language Models to Appropriately Abstain with Semantic Entropy. - Benedict Aaron Tjandra; Muhammed Razzak; Jannik Kossen; Kunal Handa; Yarin Gal (CoRR, 2024)

Enhancing the Expressivity of Temporal Graph Networks through Source-Target Identification. - Benedict Aaron Tjandra; Federico Barbero; Michael M. Bronstein (CoRR, 2024)

T-GRAB: A Synthetic Diagnostic Benchmark for Learning on Temporal Graphs. - Alireza Dizaji; Benedict Aaron Tjandra; Mehrab Hamidi; Shenyang Huang; Guillaume Rabusseau (CoRR, 2025)