Alex Pothen
Computer Science · Purdue University West Lafayette
Publications
176
Citations
5,643
Est. group size
~4
Recurring co-author estimate
Active years
48
Publishing since 1979
Alex Pothen works in computer science on graph algorithms and their applications to scientific computing and machine learning, including graph matching, sparsification, and combinatorial optimization problems on large networks. Recent work extends these ideas to graph neural networks, quantum algorithms for graph problems like maximum independent set, and applications in biology and chemistry such as organ-on-chip simulations and molecular property prediction. The group also develops streaming and parallel algorithms for handling very large graphs and hypergraphs efficiently.
Publication output has remained fairly steady over the past decade, with modest year-to-year fluctuations and a recent uptick in 2025-2026.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Succinct Graph Representations and Algorithmic Applications
arXiv (Cornell University) · 2026
- Preface for the special issue honouring Andreas Griewank
Optimization methods & software · 2026
- Succinct Graph Representations and Algorithmic Applications
arXiv (Cornell University) · 2026
- Data Summarization and Inference at Scale
2026
- Special issue dedicated to the memory of Andreas Griewank
RWTH Publications (RWTH Aachen) · 2026
- DigiLoCS: A leap forward in predictive organ-on-chip simulations
PLoS ONE · 2025
- SGS-GNN: A Supervised Graph Sparsification method for Graph Neural Networks
arXiv (Cornell University) · 2025
- Semi-Streaming Algorithms for Hypergraph Matching
arXiv (Cornell University) · 2025
- PIL-Net: a physics-informed graph convolutional network for predicting atomic multipoles
Digital Discovery · 2025
- QAOA Parameter Transferability for Maximum Independent Set using Graph Attention Networks
2025
- Weighted Matching in a Poly-Streaming Model
arXiv (Cornell University) · 2025
- QAOA Parameter Transferability for Maximum Independent Set using Graph Attention Networks
arXiv (Cornell University) · 2025
- DigiLoCS: A Leap Forward in Predictive Organ-on-Chip Simulations
bioRxiv (Cold Spring Harbor Laboratory) · 2024
- AGS-GNN: Attribute-guided Sampling for Graph Neural Networks
2024
- Divide and Conquer-based Quantum Algorithms for Maximum Independent Set on Large Separable Graphs
2024
- arXiv (Cornell University)×17
- Society for Industrial and Applied Mathematics eBooks×6
- SIAM Journal on Scientific Computing×3
- Optimization methods & software×2
- bioRxiv (Cold Spring Harbor Laboratory)×2
- Allan Bickle
Computer Science · Purdue University West Lafayette
- Kent Quanrud
Computer Science · Purdue University West Lafayette
- Pooya Hatami
Computer Science · The Ohio State University
- Billy Jin
Computer Science · Purdue University West Lafayette
- Elena Grigorescu
Computer Science · Purdue University West Lafayette
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 20, 2026.
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