6 citations · 10 across the 8 of their papers we have counts for
9 papers
Inference of Sequential Patterns for Neural Message Passing in Temporal Graphs
Jan von Pichowski, Vincenzo Perri, Lisi Qarkaxhija +1
The modelling of temporal patterns in dynamic graphs is an important current research issue in the development of time-aware GNNs. Whether or not a specific sequence of events in a…
Locating Community Smells in Software Development Processes Using Higher-Order Network Centralities
Christoph Gote, Vincenzo Perri, Christian Zingg +5
Community smells are negative patterns in software development teams' interactions that impede their ability to successfully create software. Examples are team members working in i…
Bayesian Detection of Mesoscale Structures in Pathway Data on Graphs
Luka V. Petrović, Vincenzo Perri
Mesoscale structures are an integral part of the abstraction and analysis of complex systems. They reveal a node's function in the network, and facilitate our understanding of the…
Bayesian Inference of Transition Matrices from Incomplete Graph Data with a Topological Prior
Vincenzo Perri, Luka V. Petrović, Ingo Scholtes
Many network analysis and graph learning techniques are based on models of random walks which require to infer transition matrices that formalize the underlying stochastic process…
One Graph to Rule them All: Using NLP and Graph Neural Networks to analyse Tolkien's Legendarium
Vincenzo Perri, Lisi Qarkaxhija, Albin Zehe +2
Natural Language Processing and Machine Learning have considerably advanced Computational Literary Studies. Similarly, the construction of co-occurrence networks of literary charac…
De Bruijn goes Neural: Causality-Aware Graph Neural Networks for Time Series Data on Dynamic Graphs
Lisi Qarkaxhija, Vincenzo Perri, Ingo Scholtes
We introduce De Bruijn Graph Neural Networks (DBGNNs), a novel time-aware graph neural network architecture for time-resolved data on dynamic graphs. Our approach accounts for temp…
Predicting Influential Higher-Order Patterns in Temporal Network Data
Christoph Gote, Vincenzo Perri, Ingo Scholtes
Networks are frequently used to model complex systems comprised of interacting elements. While edges capture the topology of direct interactions, the true complexity of many system…
HOTVis: Higher-Order Time-Aware Visualisation of Dynamic Graphs
Vincenzo Perri, Ingo Scholtes
Network visualisation techniques are important tools for the exploratory analysis of complex systems. While these methods are regularly applied to visualise data on complex network…
Dynamical systems on graphs through the signless Laplacian matrix
Barbara Giunti, Vincenzo Perri
There is a deep and interesting connection between the topological properties of a graph and the behaviour of the dynamical system defined on it. We analyse various kind of graphs,…