Donald Loveland
Affiliations:- Lawrence Livermore National Laboratory, USA
According to our database1,
Donald Loveland
authored at least 15 papers
between 2019 and 2024.
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Bibliography
2024
CoRR, 2024
Understanding and Scaling Collaborative Filtering Optimization from the Perspective of Matrix Rank.
CoRR, 2024
Unveiling the Impact of Local Homophily on GNN Fairness: In-Depth Analysis and New Benchmarks.
CoRR, 2024
2023
Proceedings of the Learning on Graphs Conference, 27-30 November 2023, Virtual Event., 2023
Network Design Through Graph Neural Networks: Identifying Challenges and Improving Performance.
Proceedings of the Complex Networks & Their Applications XII, 2023
2022
CoRR, 2022
Zeroth-Order SciML: Non-intrusive Integration of Scientific Software with Deep Learning.
CoRR, 2022
CoRR, 2022
How does Heterophily Impact the Robustness of Graph Neural Networks?: Theoretical Connections and Practical Implications.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
2021
Predicting Energetics Materials' Crystalline Density from Chemical Structure by Machine Learning.
J. Chem. Inf. Model., 2021
2020
J. Chem. Inf. Model., 2020
Explainable Deep Learning for Uncovering Actionable Scientific Insights for Materials Discovery and Design.
CoRR, 2020
2019
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019