Donald Loveland

Computer Science · University of Michigan

Established · publishing since 1966

Logic, programming, and type systems Logic, Reasoning, and Knowledge Formal Methods in Verification Advanced Graph Neural Networks AI-based Problem Solving and Planning

Publications

119

Citations

6,048

Est. group size

Recurring co-author estimate

Active years

Publishing since 1966

In context

Among 615 established Computer Science PIs within our index

Citations: 6,048cohort median 1,709

Publications / year (recent): 4.6cohort median 4.2

Typically publishes in teams of ~7 · 19% small-team papers (≤3 authors) · across 12 venues

Publication cadence

Publications per year over the last 10 years — averaging 4.6/year recently

Collaborators per year

Distinct co-authors at University of Michigan each year — a rough indication of whether the group around this researcher has been growing or contracting. An estimate from co-authorship, not a roster: collaborators are not necessarily lab members, and recent years can be under-counted while indexing catches up.

Recent publications

Plain Transformers are Surprisingly Powerful Link Predictors
arXiv (Cornell University) · 2026
Plain Transformers are Surprisingly Powerful Link Predictors
Open MIND · 2026
Exploiting ID-Text Complementarity via Ensembling for Sequential Recommendation
arXiv (Cornell University) · 2025
Exploiting ID-Text Complementarity via Ensembling for Sequential Recommendation
arXiv (Cornell University) · 2025
MAGNET: A Multi-Agent Graph Neural Network for Efficient Bipartite Task Assignment
2025
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems
2025
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems
arXiv (Cornell University) · 2024
Network Design Through Graph Neural Networks: Identifying Challenges and Improving Performance
Studies in computational intelligence · 2024
Network Design through Graph Neural Networks: Identifying Challenges and Improving Performance
arXiv (Cornell University) · 2023
Zeroth-Order SciML: Non-intrusive Integration of Scientific Software with Deep Learning
arXiv (Cornell University) · 2022
FairEdit: Preserving Fairness in Graph Neural Networks through Greedy Graph Editing
arXiv (Cornell University) · 2022
Attribution-Driven Explanation of the Deep Neural Network Model via Conditional Microstructure Image Synthesis
ACS Omega · 2022
Reliable Graph Neural Network Explanations Through Adversarial Training
arXiv (Cornell University) · 2021
Predicting Energetics Materials’ Crystalline Density from Chemical Structure by Machine Learning
Journal of Chemical Information and Modeling · 2021
Actionable Attribution Maps for Scientific Machine Learning
arXiv (Cornell University) · 2020

Publishes in

arXiv (Cornell University)×17
Journal of Chemical Information and Modeling×2
The Astrophysical Journal×2
Materials & Design×1
Monthly Notices of the Royal Astronomical Society×1

Similar researchers

By research-topic overlap

Esfandiar Haghverdi
Computer Science · Indiana University
Chung-chieh Shan
Computer Science · Indiana University
Carlo Angiuli
Computer Science · Indiana University
Daniel P. Friedman
Computer Science · Indiana University
Amr Sabry
Computer Science · Indiana University

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 25, 2026.

Claim or correct this profile