Donald Loveland

Computer Science · Physical Sciences

28h-index6.0kcitations120works0.32yr avg
OpenAlex↗ORCID↗Google Scholar↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Logic, programming, and type systems(39), Logic, Reasoning, and Knowledge(28), Formal Methods in Verification(22), AI-based Problem Solving and Planning(12), Advanced Graph Neural Networks(12)

Publications120 total

Plain Transformers are Surprisingly Powerful Link Predictors
arXiv (Cornell University)·2026Open Access
Plain Transformers are Surprisingly Powerful Link Predictors
ArXiv.org·2026Open Access
Exploiting ID-Text Complementarity via Ensembling for Sequential Recommendation
ArXiv.org·2025Open Access
Exploiting ID-Text Complementarity via Ensembling for Sequential Recommendation
arXiv (Cornell University)·2025Open Access
Establishing a research advisory committee in addictions services with a focus on social needs and social isolation
Research Involvement and Engagement·2025· 1 citedOpen Access
On the Role of Weight Decay in Collaborative Filtering: A Popularity Perspective
2025Open Access
MAGNET: A Multi-Agent Graph Neural Network for Efficient Bipartite Task Assignment
2025
On the Role of Weight Decay in Collaborative Filtering: A Popularity Perspective
arXiv (Cornell University)·2025Open Access
Understanding and Scaling Collaborative Filtering Optimization from the Perspective of Matrix Rank
2025· 2 citedOpen Access
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems
2025· 1 citedOpen Access
Unveiling the Impact of Local Homophily on GNN Fairness: In-Depth Analysis and New Benchmarks
Society for Industrial and Applied Mathematics eBooks·2025
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems
arXiv (Cornell University)·2024Open Access
Understanding and Scaling Collaborative Filtering Optimization from the Perspective of Matrix Rank
arXiv (Cornell University)·2024Open Access
Unveiling the Impact of Local Homophily on GNN Fairness: In-Depth Analysis and New Benchmarks
arXiv (Cornell University)·2024Open Access
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)·2023Open Access
On Performance Discrepancies Across Local Homophily Levels in Graph Neural Networks
arXiv (Cornell University)·2023· 1 citedOpen Access
How does Heterophily Impact the Robustness of Graph Neural Networks?
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining·2022· 26 citedOpen Access
Zeroth-Order SciML: Non-intrusive Integration of Scientific Software with Deep Learning
arXiv (Cornell University)·2022Open Access
The Lick AGN Monitoring Project 2016: Dynamical Modeling of Velocity-resolved Hβ Lags in Luminous Seyfert Galaxies
The Astrophysical Journal·2022· 32 citedOpen Access
page 1 of 6Next →

Frequent Co-authors

Bhavya Kailkhura(3), Anna M. Hiszpanski(3), T. Yong-Jin Han(3), Tommaso Treu(3), Vardha N. Bennert(3), Matthew A. Malkan(3), Maren Cosens(3), Edward Donohue(3), Daeseong Park(3), David Reed(3), Owen Astrachan(3), Marco Valtorta(3), Martin Davis(2), George Logemann(2), Shusen Liu(2), Yong Han(2), H. Gelernter(2), Josie Hansen(2), Piyush Karande(2), U Vivian(2)