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2020 – today
- 2024
[i7]Jan von Pichowski, Vincenzo Perri, Lisi Qarkaxhija, Ingo Scholtes:
Inference of Sequential Patterns for Neural Message Passing in Temporal Graphs. CoRR abs/2406.16552 (2024)- 2023
- [j2]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): 48 (2023) - [j1]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): 129 (2023) - [i6]Luka V. Petrovic, Vincenzo Perri:
Bayesian Detection of Mesoscale Structures in Pathway Data on Graphs. CoRR abs/2301.11120 (2023) - [i5]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 abs/2309.07467 (2023) - 2022
- [c6]Christoph Gote, Vincenzo Perri, Ingo Scholtes:
Predicting Influential Higher-Order Patterns in Temporal Network Data. ASONAM 2022: 109-116 - [c5]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: 291-317 - [c4]Lisi Qarkaxhija, Vincenzo Perri, Ingo Scholtes:
De Bruijn Goes Neural: Causality-Aware Graph Neural Networks for Time Series Data on Dynamic Graphs. LoG 2022: 51 - [i4]Lisi Qarkaxhija, Vincenzo Perri, Ingo Scholtes:
De Bruijn goes Neural: Causality-Aware Graph Neural Networks for Time Series Data on Dynamic Graphs. CoRR abs/2209.08311 (2022) - [i3]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 abs/2210.07871 (2022) - 2021
- [c3]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: 530-532 - [c2]Vincenzo Perri, Ingo Scholtes:
Visualisation of Temporal Network Data via Time-Aware Static Representations with HOTVis. WWW (Companion Volume) 2021: 533-534 - [i2]Christoph Gote, Vincenzo Perri, Ingo Scholtes:
Predicting Influential Higher-Order Patterns in Temporal Network Data. CoRR abs/2107.12100 (2021) - 2020
- [c1]Vincenzo Perri, Ingo Scholtes:
HOTVis: Higher-Order Time-Aware Visualisation of Dynamic Graphs. GD 2020: 99-114
2010 – 2019
- 2019
- [i1]Vincenzo Perri, Ingo Scholtes:
Higher-Order Visualization of Causal Structures in Dynamics Graphs. CoRR abs/1908.05976 (2019)
Coauthor Index
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