| Digital proximity tracing on empirical contact networks for pandemic control G Cencetti, G Santin, A Longa, E Pigani, A Barrat, C Cattuto, S Lehmann, ... Nature communications 12 (1), 1655, 2021 | 135* | 2021 |
| Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities A Longa, V Lachi, G Santin, M Bianchini, B Lepri, P Lio, F Scarselli, ... Transactions on Machine Learning Research (TMLR), 2023 | 51 | 2023 |
| Global explainability of gnns via logic combination of learned concepts S Azzolin, A Longa, P Barbiero, P Liò, A Passerini International Conference on Learning Representations ICLR23, 2022 | 47 | 2022 |
| Explaining the explainers in graph neural networks: a comparative study A Longa, S Azzolin, G Santin, G Cencetti, P Liò, B Lepri, A Passerini arXiv preprint arXiv:2210.15304, 2022 | 24 | 2022 |
| An efficient procedure for mining egocentric temporal motifs A Longa, G Cencetti, B Lepri, A Passerini Data Mining and Knowledge Discovery 36 (1), 355-378, 2022 | 18 | 2022 |
| Generating mobility networks with generative adversarial networks G Mauro, M Luca, A Longa, B Lepri, L Pappalardo EPJ data science 11 (1), 58, 2022 | 16 | 2022 |
| Generating fine-grained surrogate temporal networks A Longa, G Cencetti, S Lehmann, A Passerini, B Lepri Communications Physics 7 (1), 22, 2024 | 15* | 2024 |
| Emotion analysis using multilayered networks for graphical representation of tweets A Nguyen, A Longa, M Luca, J Kaul, G Lopez IEEE Access 10, 99467-99478, 2022 | 11 | 2022 |
| Tep-gnn: Accurate execution time prediction of functional tests using graph neural networks HP Samoaa, A Longa, M Mohamad, MH Chehreghani, P Leitner International Conference on Product-Focused Software Process Improvement …, 2022 | 9 | 2022 |
| A unified active learning framework for annotating graph data with application to software source code performance prediction P Samoaa, L Aronsson, A Longa, P Leitner, MH Chehreghani arXiv preprint arXiv:2304.13032, 2023 | 8 | 2023 |
| Patterns in temporal networks with higher-order egocentric structures B Arregui-García, A Longa, QF Lotito, S Meloni, G Cencetti Entropy 26 (3), 256, 2024 | 2 | 2024 |
| A Simple Latent Variable Model for Graph Learning and Inference M Jaeger, A Longa, S Azzolin, O Schulte, A Passerini Learning on Graphs Conference, 26: 1-26: 18, 2024 | 1 | 2024 |
| Meta-Path Learning for Multi-relational Graph Neural Networks F Ferrini, A Longa, A Passerini, M Jaeger The Second Learning on Graphs Conference, 2023 | 1 | 2023 |
| xAI-Drop: Don't Use What You Cannot Explain VM De Luca, A Longa, A Passerini, P Liò arXiv preprint arXiv:2407.20067, 2024 | | 2024 |
| Perks and Pitfalls of Faithfulness in Regular, Self-Explainable and Domain Invariant GNNs S Azzolin, A Longa, S Teso, A Passerini arXiv preprint arXiv:2406.15156, 2024 | | 2024 |
| Analysing the Behaviour of Tree-Based Neural Networks in Regression Tasks P Samoaa, M Farahani, A Longa, P Leitner, MH Chehreghani arXiv preprint arXiv:2406.11437, 2024 | | 2024 |
| Putting Context in Context: the Impact of Discussion Structure on Text Classification N Penzo, A Longa, B Lepri, S Tonelli, M Guerini arXiv preprint arXiv:2402.02975, 2024 | | 2024 |
| A Simple and Expressive Graph Neural Network Based Method for Structural Link Representation V Lachi, F Ferrini, A Longa, B Lepri, A Passerini ICML 2024 Workshop on Geometry-grounded Representation Learning and …, 2024 | | 2024 |
| Understanding Social Interactions via Temporal Network Analysis A Longa Università degli studi di Trento, 2023 | | 2023 |
| Sheaf Diffusion Goes Nonlinear: Enhancing GNNs with Adaptive Sheaf Laplacians O Zaghen, A Longa, S Azzolin, L Telyatnikov, A Passerini, P Lio ICML 2024 Workshop on Geometry-grounded Representation Learning and …, 0 | | |
Bruno LepriFondazione Bruno KesslerVerified email at fbk.eu
