Paolo Pellizzoni

ACM Trans. Knowl. Discov. Data, 2025

Graph Neural Networks Can (Often) Count Substructures.

[BibT_eX]

[DOI]

Till Hendrik Schulz

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Endowing Protein Language Models with Structural Knowledge.

[BibT_eX]

[DOI]

CoRR, 2024

Structure- and Function-Aware Substitution Matrices via Learnable Graph Matching.

[BibT_eX]

[DOI]

Carlos G. Oliver

Proceedings of the Research in Computational Molecular Biology, 2024

On the Expressivity and Sample Complexity of Node-Individualized Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

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

[BibT_eX]

[DOI]

Giulia Muzio

Bioinform., 2023

Fisher Information Embedding for Node and Graph Learning.

[BibT_eX]

[DOI]

Dexiong Chen

Proceedings of the International Conference on Machine Learning, 2023

FASM and FAST-YB: Significant Pattern Mining with False Discovery Rate Control.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

VC-dimension and Rademacher Averages of Subgraphs, with Applications to Graph Mining.

[BibT_eX]

[DOI]

Fabio Vandin

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

Adaptive k-center and diameter estimation in sliding windows.

[BibT_eX]

[DOI]

Int. J. Data Sci. Anal., 2022

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

[BibT_eX]

[DOI]

Francesco Silvestri

CoRR, 2022

k-Center Clustering with Outliers in Sliding Windows.

[BibT_eX]

[DOI]

Algorithms, 2022

2020

Dimensionality-adaptive k-center in sliding windows.

[BibT_eX]

[DOI]