Vincenzo Perri

16 papers A 1B 1Journal 10Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Exploring the structure of the school curriculum with graph neural networks. J. Comput. Soc. Sci. Benjamín Garzón, Vincenzo Perri, Lisi Qarkaxhija, Ingo Scholtes, Martin J. Tomasik
2024	J	`jnl`	Inference of Sequential Patterns for Neural Message Passing in Temporal Graphs. CoRR Jan von Pichowski, Vincenzo Perri, Lisi Qarkaxhija, Ingo Scholtes
2023	J	`jnl`	Bayesian Detection of Mesoscale Structures in Pathway Data on Graphs. CoRR Luka V. Petrovic, Vincenzo Perri
2023	J	`jnl`	Bayesian inference of transition matrices from incomplete graph data with a topological prior. EPJ Data Sci. Vincenzo Perri, Luka V. Petrovic, Ingo Scholtes
2023	J	`jnl`	Locating Community Smells in Software Development Processes Using Higher-Order Network Centralities. CoRR Christoph Gote, Vincenzo Perri, Christian Zingg, Giona Casiraghi, Carsten Arzig, Alexander von Gernler, Frank Schweitzer, Ingo Scholtes
2023	J	`jnl`	Locating community smells in software development processes using higher-order network centralities. Soc. Netw. Anal. Min. Christoph Gote, Vincenzo Perri, Christian Zingg, Giona Casiraghi, Carsten Arzig, Alexander von Gernler, Frank Schweitzer, Ingo Scholtes
2022	—	`conf`	De Bruijn Goes Neural: Causality-Aware Graph Neural Networks for Time Series Data on Dynamic Graphs. LoG Lisi Qarkaxhija, Vincenzo Perri, Ingo Scholtes
2022	J	`jnl`	De Bruijn goes Neural: Causality-Aware Graph Neural Networks for Time Series Data on Dynamic Graphs. CoRR Lisi Qarkaxhija, Vincenzo Perri, Ingo Scholtes
2022	—	`conf`	One Graph to Rule them All: Using NLP and Graph Neural Networks to analyse Tolkien's Legendarium. CHR Vincenzo Perri, Lisi Qarkaxhija, Albin Zehe, Andreas Hotho, Ingo Scholtes
2022	J	`jnl`	One Graph to Rule them All: Using NLP and Graph Neural Networks to analyse Tolkien's Legendarium. CoRR Vincenzo Perri, Lisi Qarkaxhija, Albin Zehe, Andreas Hotho, Ingo Scholtes
2022	B	`conf`	Predicting Influential Higher-Order Patterns in Temporal Network Data. ASONAM Christoph Gote, Vincenzo Perri, Ingo Scholtes
2021	—	`conf`	Analysis and Visualisation of Time Series Data on Networks with Pathpy. WWW (Companion Volume) Jürgen Hackl, Ingo Scholtes, Luka V. Petrovic, Vincenzo Perri, Luca Verginer, Christoph Gote
2021	J	`jnl`	Predicting Influential Higher-Order Patterns in Temporal Network Data. CoRR Christoph Gote, Vincenzo Perri, Ingo Scholtes
2021	—	`conf`	Visualisation of Temporal Network Data via Time-Aware Static Representations with HOTVis. WWW (Companion Volume) Vincenzo Perri, Ingo Scholtes
2020	A	`conf`	HOTVis: Higher-Order Time-Aware Visualisation of Dynamic Graphs. GD Vincenzo Perri, Ingo Scholtes
2019	J	`jnl`	Higher-Order Visualization of Causal Structures in Dynamics Graphs. CoRR Vincenzo Perri, Ingo Scholtes