Publications

You can also find my articles on my Google Scholar profile.

Workshop Papers

Enhancing the Expressivity of Temporal Graph Networks via Source-Target Identification

Published in NeurIPS Symmetry and Geometry in Neural Representations Workshop 2024 (Oral), 2024

We show that adding source-target identification to Temporal Graph Networks (TGNs) strictly increases its expressivity and demonstrate that the resulting architecture outperforms all TG methods in dynamic node affinity prediction on all TGB datasets.

Paper Link

Fine-Tuning Large Language Models to Appropriately Abstain via Semantic Entropy

Published in NeurIPS Safe Generative AI Workshop 2024, 2024

We fine-tune LLMs using semantic entropy to make them abstain from answering uncertain questions.

Paper Link

Preprints

On Graph Neural Network Ensembles for Large-Scale Molecular Property Prediction

Published in arXiv, 2021

We conducted experiments using graph neural network ensembles to predict molecular HOMO-LUMO gaps.

Paper Link

Benedict Aaron Tjandra

Publications

Workshop Papers

Enhancing the Expressivity of Temporal Graph Networks via Source-Target Identification

Fine-Tuning Large Language Models to Appropriately Abstain via Semantic Entropy

Preprints

On Graph Neural Network Ensembles for Large-Scale Molecular Property Prediction