| HOTVis: Higher-Order Time-Aware Visualisation of Dynamic Graphs V Perri, I Scholtes Graph Drawing 2020, 2019 | 20 | 2019 |
| De Bruijn goes Neural: Causality-Aware Graph Neural Networks for Time Series Data on Dynamic Graphs L Qarkaxhija, V Perri, I Scholtes Learning on Graphs, Proceedings for Machine Learning Research, 2022 | 9 | 2022 |
| Analysis and visualisation of time series data on networks with pathpy J Hackl, I Scholtes, LV Petrović, V Perri, L Verginer, C Gote Companion Proceedings of the Web Conference 2021, 530-532, 2021 | 9 | 2021 |
| Predicting influential higher-order patterns in temporal network data C Gote, V Perri, I Scholtes 2022 IEEE/ACM International Conference on Advances in Social Networks …, 2022 | 6 | 2022 |
| Visualisation of temporal network data via time-aware static representations with Hotvis V Perri, I Scholtes Companion Proceedings of the Web Conference 2021, 533-534, 2021 | 5 | 2021 |
| One Graph to Rule them All: Using NLP and Graph Neural Networks to analyse Tolkien's Legendarium V Perri, L Qarkaxhija, A Zehe, A Hotho, I Scholtes Third International Conference on Computational Humanities Research (CHR2022), 2022 | 4 | 2022 |
| Inference of sequential patterns for neural message passing in temporal graphs J von Pichowski, V Perri, L Qarkaxhija, I Scholtes arXiv preprint arXiv:2406.16552, 2024 | 2 | 2024 |
| Bayesian inference of transition matrices from incomplete graph data with a topological prior V Perri, LV Petrović, I Scholtes EPJ data science 12 (1), 48, 2023 | 1 | 2023 |
| Locating community smells in software development processes using higher-order network centralities C Gote, V Perri, C Zingg, G Casiraghi, C Arzig, A von Gernler, ... Social Network Analysis and Mining 13 (1), 129, 2023 | 1 | 2023 |
| Bayesian Detection of Mesoscale Structures in Pathway Data on Graphs LV Petrović, V Perri arXiv preprint arXiv:2301.11120, 2023 | 1 | 2023 |
| Dynamical systems on graphs through the signless Laplacian matrix B Giunti, V Perri Ricerche di Matematica 67, 533-547, 2018 | 1 | 2018 |
| Exploring the Structure of the School Curriculum with Graph Neural Networks B Garzon, V Perri, L Qarkaxhija, I Scholtes, MJ Tomasik OSF, 2024 | | 2024 |
| Enhancing Graph Neural Networks with Random Graph Ensembles J von Pichowski, V Perri, I Scholtes The Third Learning on Graphs Conference, 2024 | | 2024 |
| Detecting and visualizing patterns in the causal topology of temporal networks V Perri University of Zurich, 2023 | | 2023 |
| 3.16 How, when, and which Higher-Order Models can we use? V Perri Higher-Order Graph Models: From Theoretical Foundations to Machine Learning …, 2021 | | 2021 |
Ingo ScholtesProfessor of Machine Learning for Complex Networks at University of WürzburgE-mailová adresa ověřena na: uni-wuerzburg.de