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Ingo Scholtes

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Vincenzo Perri

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Publications

2023
[j17]
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  - journals/epjds/PerriPS23
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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)
[j16]
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  - journals/snam/GotePZCAGSS23
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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)
[i35]
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  - journals/corr/abs-2309-07467
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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
[c56]
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  - conf/asunam/GotePS22
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Christoph Gote, Vincenzo Perri, Ingo Scholtes:
Predicting Influential Higher-Order Patterns in Temporal Network Data. ASONAM 2022: 109-116
[c55]
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  - conf/chr/PerriQZHS22
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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
[c52]
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  - conf/log/QarkaxhijaPS22
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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
[i29]
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  - journals/corr/abs-2209-08311
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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)
[i28]
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  - journals/corr/abs-2210-07871
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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
[c48]
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  - conf/www/HacklSPPVG21
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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
[c47]
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Vincenzo Perri, Ingo Scholtes:
Visualisation of Temporal Network Data via Time-Aware Static Representations with HOTVis. WWW (Companion Volume) 2021: 533-534
[i27]
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  - journals/corr/abs-2107-12100
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Christoph Gote, Vincenzo Perri, Ingo Scholtes:
Predicting Influential Higher-Order Patterns in Temporal Network Data. CoRR abs/2107.12100 (2021)
2020
[c46]
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  - conf/gd/PerriS20
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Vincenzo Perri, Ingo Scholtes:
HOTVis: Higher-Order Time-Aware Visualisation of Dynamic Graphs. GD 2020: 99-114
2019
[i19]
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  - journals/corr/abs-1908-05976
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Vincenzo Perri, Ingo Scholtes:
Higher-Order Visualization of Causal Structures in Dynamics Graphs. CoRR abs/1908.05976 (2019)

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