Vincenzo Perri

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 15

Top Topics

Temporal Events

Bayesian Inference

Directed Acyclic

Top Venues

WWW (Companion Volume)

Soc. Netw. Anal. Min.

Publications

Jan von Pichowski, Vincenzo Perri, Lisi Qarkaxhija, Ingo Scholtes
Inference of Sequential Patterns for Neural Message Passing in Temporal Graphs. CoRR (2024)
Luka V. Petrovic, Vincenzo Perri
Bayesian Detection of Mesoscale Structures in Pathway Data on Graphs. CoRR (2023)
Christoph Gote, Vincenzo Perri, Christian Zingg, Giona Casiraghi, Carsten Arzig, Alexander von Gernler, Frank Schweitzer, Ingo Scholtes
Locating community smells in software development processes using higher-order network centralities. Soc. Netw. Anal. Min. 13 (1) (2023)
Christoph Gote, Vincenzo Perri, Christian Zingg, Giona Casiraghi, Carsten Arzig, Alexander von Gernler, Frank Schweitzer, Ingo Scholtes
Locating Community Smells in Software Development Processes Using Higher-Order Network Centralities. CoRR (2023)
Vincenzo Perri, Luka V. Petrovic, Ingo Scholtes
Bayesian inference of transition matrices from incomplete graph data with a topological prior. EPJ Data Sci. 12 (1) (2023)
Vincenzo Perri, Lisi Qarkaxhija, Albin Zehe, Andreas Hotho, Ingo Scholtes
One Graph to Rule them All: Using NLP and Graph Neural Networks to analyse Tolkien's Legendarium. CoRR (2022)
Vincenzo Perri, Lisi Qarkaxhija, Albin Zehe, Andreas Hotho, Ingo Scholtes
One Graph to Rule them All: Using NLP and Graph Neural Networks to analyse Tolkien's Legendarium. CHR (2022)
Christoph Gote, Vincenzo Perri, Ingo Scholtes
Predicting Influential Higher-Order Patterns in Temporal Network Data. ASONAM (2022)
Lisi Qarkaxhija, Vincenzo Perri, Ingo Scholtes
De Bruijn goes Neural: Causality-Aware Graph Neural Networks for Time Series Data on Dynamic Graphs. CoRR (2022)
Lisi Qarkaxhija, Vincenzo Perri, Ingo Scholtes
De Bruijn Goes Neural: Causality-Aware Graph Neural Networks for Time Series Data on Dynamic Graphs. LoG (2022)
Vincenzo Perri, Ingo Scholtes
Visualisation of Temporal Network Data via Time-Aware Static Representations with HOTVis. WWW (Companion Volume) (2021)
Jürgen Hackl, Ingo Scholtes, Luka V. Petrovic, Vincenzo Perri, Luca Verginer, Christoph Gote
Analysis and Visualisation of Time Series Data on Networks with Pathpy. WWW (Companion Volume) (2021)
Christoph Gote, Vincenzo Perri, Ingo Scholtes
Predicting Influential Higher-Order Patterns in Temporal Network Data. CoRR (2021)
Vincenzo Perri, Ingo Scholtes
HOTVis: Higher-Order Time-Aware Visualisation of Dynamic Graphs. Graph Drawing (2020)
Vincenzo Perri, Ingo Scholtes
Higher-Order Visualization of Causal Structures in Dynamics Graphs. CoRR (2019)