Publikationen von Paolo Pellizzoni

Pellizzoni, P.; Pietracaprina, A.; Pucci, G.: Fully Dynamic Clustering and Diversity Maximization in Doubling Metrics. ACM Transactions on Knowledge Discovery from Data 19 (4), 93 (2025)

Pellizzoni, P.; Schulz, T.; Chen, D.; Borgwardt, K.: Graph Neural Networks Can (Often) Count Substructures. 13th International Conference on Learning Representations (ICLR 2025) (2025)

Pellizzoni, P.; Oliver, C.; Borgwardt, K.: Structure- and function-aware substitution matrices via learnable graph matching. Research in Computational Molecular Biology (RECOMB 2024). Lecture Notes in Computer Science, Vol. 14758, S. 288 - 307 (2024)

Pellizzoni, P.; Schulz, T.; Chen, D.; Borgwardt, K. M.: On the expressivity and sample complexity of node-individualized graph neural networks. Conference on Neural Information Processing Systems (NeurIPS 2024) (2024)

Pellizzoni, P.; Muzio, G.; Borgwardt, K.: Higher-order genetic interaction discovery with network-based biological priors. Bioinformatics 39 (Suppl. 1), S. 523 - 533 (2023)

Pellizzoni, P.; Borgwardt, K.: FASM and FAST-YB: Significant Pattern Mining with False Discovery Rate Control. 2023 IEEE International Conference on Data Mining (ICDM), S. 1265 - 1270 (2023)

Chen, D.; Hartout, P.; Pellizzoni, P.; Oliver, C.; Borgwardt, K.: Endowing protein language models with structural knowledge. arXiv: Condensed Matter-Materials Science (2024)