Portfolio item number 1
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Posts by Collection
portfolio
Portfolio item number 2
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publications
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.
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.
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.
talks
Talk 1 on Relevant Topic in Your Field
Published:
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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