Donald Loveland

Affiliations:

Lawrence Livermore National Laboratory, USA

According to our database¹, Donald Loveland authored at least 12 papers between 2019 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2023

On Performance Discrepancies Across Local Homophily Levels in Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Network Design Through Graph Neural Networks: Identifying Challenges and Improving Performance.

[BibT_eX]

[DOI]

Donald Loveland

Rajmonda Caceres

Proceedings of the Complex Networks & Their Applications XII, 2023

2022

On Graph Neural Network Fairness in the Presence of Heterophilous Neighborhoods.

[BibT_eX]

[DOI]

CoRR, 2022

Zeroth-Order SciML: Non-intrusive Integration of Scientific Software with Deep Learning.

[BibT_eX]

[DOI]

Anna Maria Hiszpanski

Mingyi Hong

CoRR, 2022

FairEdit: Preserving Fairness in Graph Neural Networks through Greedy Graph Editing.

[BibT_eX]

[DOI]

Donald Loveland

Jiayi Pan

Aaresh Farrokh Bhathena

Yiyang Lu

CoRR, 2022

How does Heterophily Impact the Robustness of Graph Neural Networks?: Theoretical Connections and Practical Implications.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2021

Reliable Graph Neural Network Explanations Through Adversarial Training.

[BibT_eX]

[DOI]

CoRR, 2021

2020

Automated Identification of Molecular Crystals' Packing Motifs.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2020

Explainable Deep Learning for Uncovering Actionable Scientific Insights for Materials Discovery and Design.

[BibT_eX]

[DOI]

CoRR, 2020

Actionable Attribution Maps for Scientific Machine Learning.

[BibT_eX]

[DOI]

CoRR, 2020

2019

Generative Counterfactual Introspection for Explainable Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

Donald Loveland

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