Paolo Pellizzoni

Orcid: 0009-0005-2600-6026

According to our database1, Paolo Pellizzoni authored at least 16 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Dynamic k-center clustering with lifetimes.
CoRR, March, 2026

2025
Endowing protein language models with structural knowledge.
Bioinform., 2025

The Flood Complex: Large-Scale Persistent Homology on Millions of Points.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Dimensionality Reduction on Complex Vector Spaces for Euclidean Distance with Dynamic Weights.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Graph Neural Networks Can (Often) Count Substructures.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Structure- and Function-Aware Substitution Matrices via Learnable Graph Matching.
Proceedings of the Research in Computational Molecular Biology, 2024

On the Expressivity and Sample Complexity of Node-Individualized Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023
Higher-order genetic interaction discovery with network-based biological priors.
Bioinform., 2023

Fully Dynamic Clustering and Diversity Maximization in Doubling Metrics.
Proceedings of the Algorithms and Data Structures - 18th International Symposium, 2023

Fisher Information Embedding for Node and Graph Learning.
Proceedings of the International Conference on Machine Learning, 2023

FASM and FAST-YB: Significant Pattern Mining with False Discovery Rate Control.
Proceedings of the IEEE International Conference on Data Mining, 2023

VC-dimension and Rademacher Averages of Subgraphs, with Applications to Graph Mining.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022
Adaptive k-center and diameter estimation in sliding windows.
Int. J. Data Sci. Anal., 2022

Dimensionality reduction on complex vector spaces for dynamic weighted Euclidean distance.
CoRR, 2022

k-Center Clustering with Outliers in Sliding Windows.
Algorithms, 2022

2020
Dimensionality-adaptive k-center in sliding windows.
Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020


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