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Pascal Welke
Person information
- affiliation: University of Bonn, Institute for Computer Science, Germany
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2020 – today
- 2024
- [i12]Raffaele Paolino, Sohir Maskey, Pascal Welke, Gitta Kutyniok:
Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph Representational Learning. CoRR abs/2403.13749 (2024) - [i11]Alexander Pluska, Pascal Welke, Thomas Gärtner, Sagar Malhotra:
Logical Distillation of Graph Neural Networks. CoRR abs/2406.07126 (2024) - 2023
- [c19]Ramsés J. Sánchez, Lukas Conrads, Pascal Welke, Kostadin Cvejoski, César Ojeda Marin:
Hidden Schema Networks. ACL (1) 2023: 4764-4798 - [c18]Vanessa Toborek, Moritz Busch, Malte Boßert, Christian Bauckhage, Pascal Welke:
A New Aligned Simple German Corpus. ACL (1) 2023: 11393-11412 - [c17]Karishma Mohiuddin
, Mirza Ariful Alam
, Mirza Mohtashim Alam
, Pascal Welke
, Michael Martin
, Jens Lehmann
, Sahar Vahdati
:
Retention is All You Need. CIKM 2023: 4752-4758 - [c16]Pascal Welke, Maximilian Thiessen, Fabian Jogl, Thomas Gärtner:
Expectation-Complete Graph Representations with Homomorphisms. ICML 2023: 36910-36925 - [c15]Sebastian Müller
, Vanessa Toborek
, Katharina Beckh
, Matthias Jakobs
, Christian Bauckhage
, Pascal Welke
:
An Empirical Evaluation of the Rashomon Effect in Explainable Machine Learning. ECML/PKDD (3) 2023: 462-478 - [c14]Katharina Beckh, Sebastian Müller, Matthias Jakobs, Vanessa Toborek, Hanxiao Tan, Raphael Fischer, Pascal Welke, Sebastian Houben, Laura von Rüden:
Harnessing Prior Knowledge for Explainable Machine Learning: An Overview. SaTML 2023: 450-463 - [i10]Karishma Mohiuddin, Mirza Ariful Alam, Mirza Mohtashim Alam, Pascal Welke, Michael Martin, Jens Lehmann, Sahar Vahdati:
Retention Is All You Need. CoRR abs/2304.03103 (2023) - [i9]Pascal Welke, Maximilian Thiessen, Fabian Jogl, Thomas Gärtner:
Expectation-Complete Graph Representations with Homomorphisms. CoRR abs/2306.05838 (2023) - [i8]Sebastian Müller, Vanessa Toborek, Katharina Beckh, Matthias Jakobs, Christian Bauckhage, Pascal Welke:
An Empirical Evaluation of the Rashomon Effect in Explainable Machine Learning. CoRR abs/2306.15786 (2023) - 2022
- [j4]Till Hendrik Schulz
, Tamás Horváth
, Pascal Welke
, Stefan Wrobel:
A generalized Weisfeiler-Lehman graph kernel. Mach. Learn. 111(7): 2601-2629 (2022) - [j3]Dario Antweiler
, Marc Harmening, Nicole Marheineke, Andre Schmeißer
, Raimund Wegener
, Pascal Welke:
Machine learning framework to predict nonwoven material properties from fiber graph representations. Softw. Impacts 14: 100423 (2022) - [c13]Till Hendrik Schulz, Pascal Welke, Stefan Wrobel:
Graph Filtration Kernels. AAAI 2022: 8196-8203 - [c12]Richard Palme, Pascal Welke
:
Frequent Generalized Subgraph Mining via Graph Edit Distances. PKDD/ECML Workshops (2) 2022: 477-483 - [i7]Ramsés J. Sánchez, Lukas Conrads, Pascal Welke, Kostadin Cvejoski, César Ojeda:
Hidden Schema Networks. CoRR abs/2207.03777 (2022) - [i6]Vanessa Toborek, Moritz Busch, Malte Boßert, Christian Bauckhage, Pascal Welke:
A New Aligned Simple German Corpus. CoRR abs/2209.01106 (2022) - 2021
- [c11]Janis Kalofolias, Pascal Welke, Jilles Vreeken:
SUSAN: The Structural Similarity Random Walk Kernel. SDM 2021: 298-306 - [e3]Michael Kamp
, Irena Koprinska
, Adrien Bibal
, Tassadit Bouadi
, Benoît Frénay
, Luis Galárraga
, José Oramas
, Linara Adilova, Yamuna Krishnamurthy
, Bo Kang
, Christine Largeron, Jefrey Lijffijt
, Tiphaine Viard, Pascal Welke
, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele
, Franz Pernkopf
, Michaela Blott
, Holger Fröning
, Günther Schindler, Riccardo Guidotti
, Anna Monreale
, Salvatore Rinzivillo
, Przemyslaw Biecek
, Eirini Ntoutsi
, Mykola Pechenizkiy
, Bodo Rosenhahn
, Christopher L. Buckley
, Daniela Cialfi
, Pablo Lanillos
, Maxwell Ramstead
, Tim Verbelen
, Pedro M. Ferreira
, Giuseppina Andresini
, Donato Malerba
, Ibéria Medeiros
, Philippe Fournier-Viger
, M. Saqib Nawaz
, Sebastián Ventura
, Meng Sun
, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo
, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama
, Ricard Gavaldà
, Lee A. D. Cooper
, Naghmeh Ghazaleh
, Jonas Richiardi
, Damian Roqueiro
, Diego Saldana Miranda
, Konstantinos Sechidis
, Guilherme Graça
:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part I. Communications in Computer and Information Science 1524, Springer 2021, ISBN 978-3-030-93735-5 [contents] - [e2]Michael Kamp
, Irena Koprinska
, Adrien Bibal
, Tassadit Bouadi
, Benoît Frénay
, Luis Galárraga
, José Oramas
, Linara Adilova, Yamuna Krishnamurthy
, Bo Kang
, Christine Largeron, Jefrey Lijffijt
, Tiphaine Viard, Pascal Welke
, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele
, Franz Pernkopf
, Michaela Blott
, Holger Fröning
, Günther Schindler, Riccardo Guidotti
, Anna Monreale
, Salvatore Rinzivillo
, Przemyslaw Biecek
, Eirini Ntoutsi
, Mykola Pechenizkiy
, Bodo Rosenhahn
, Christopher L. Buckley
, Daniela Cialfi
, Pablo Lanillos
, Maxwell Ramstead
, Tim Verbelen
, Pedro M. Ferreira
, Giuseppina Andresini
, Donato Malerba
, Ibéria Medeiros
, Philippe Fournier-Viger
, M. Saqib Nawaz
, Sebastián Ventura
, Meng Sun
, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo
, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama
, Ricard Gavaldà
, Lee A. D. Cooper
, Naghmeh Ghazaleh
, Jonas Richiardi
, Damian Roqueiro
, Diego Saldana Miranda
, Konstantinos Sechidis
, Guilherme Graça
:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part II. Communications in Computer and Information Science 1525, Springer 2021, ISBN 978-3-030-93732-4 [contents] - [i5]Till Hendrik Schulz, Tamás Horváth, Pascal Welke, Stefan Wrobel:
A Generalized Weisfeiler-Lehman Graph Kernel. CoRR abs/2101.08104 (2021) - [i4]Katharina Beckh, Sebastian Müller, Matthias Jakobs, Vanessa Toborek, Hanxiao Tan, Raphael Fischer, Pascal Welke, Sebastian Houben, Laura von Rüden:
Explainable Machine Learning with Prior Knowledge: An Overview. CoRR abs/2105.10172 (2021) - [i3]Till Hendrik Schulz, Pascal Welke, Stefan Wrobel:
Graph Filtration Kernels. CoRR abs/2110.11862 (2021) - 2020
- [c10]Pascal Welke:
Efficient Frequent Subgraph Mining in Transactional Databases. DSAA 2020: 307-314 - [c9]Pascal Welke, Fouad Alkhoury, Christian Bauckhage, Stefan Wrobel:
Decision Snippet Features. ICPR 2020: 4260-4267 - [c8]Pascal Welke, Florian Seiffarth
, Michael Kamp, Stefan Wrobel:
HOPS: Probabilistic Subtree Mining for Small and Large Graphs. KDD 2020: 1275-1284 - [e1]Daniel Trabold, Pascal Welke, Nico Piatkowski:
Proceedings of the Conference "Lernen, Wissen, Daten, Analysen", Online, September 9-11, 2020. CEUR Workshop Proceedings 2738, CEUR-WS.org 2020 [contents] - [i2]Alexander Mehler, Wahed Hemati, Pascal Welke, Maxim Konca, Tolga Uslu:
Multiple Texts as a Limiting Factor in Online Learning: Quantifying (Dis-)similarities of Knowledge Networks across Languages. CoRR abs/2008.02047 (2020)
2010 – 2019
- 2019
- [b1]Pascal Welke:
Efficient Frequent Subtree Mining Beyond Forests. University of Bonn, Germany, Diss. Artif. Intell. 348, IOS Press 2019, ISBN 978-3-89838-753-8, pp. 1-176 - [j2]Pascal Welke
, Tamás Horváth
, Stefan Wrobel:
Probabilistic and exact frequent subtree mining in graphs beyond forests. Mach. Learn. 108(7): 1137-1164 (2019) - 2018
- [j1]Pascal Welke
, Tamás Horváth, Stefan Wrobel:
Probabilistic frequent subtrees for efficient graph classification and retrieval. Mach. Learn. 107(11): 1847-1873 (2018) - [c7]Till Hendrik Schulz, Tamás Horváth, Pascal Welke, Stefan Wrobel:
Mining Tree Patterns with Partially Injective Homomorphisms. ECML/PKDD (2) 2018: 585-601 - 2017
- [i1]Pascal Welke:
Simple Necessary Conditions for the Existence of a Hamiltonian Path with Applications to Cactus Graphs. CoRR abs/1709.01367 (2017) - 2016
- [c6]Pascal Welke, Alexander Markowetz, Torsten Suel, Maria Christoforaki:
Three-hop distance estimation in social graphs. IEEE BigData 2016: 1048-1055 - [c5]Pascal Welke, Tamás Horváth, Stefan Wrobel:
Min-Hashing for Probabilistic Frequent Subtree Feature Spaces. DS 2016: 67-82 - [c4]Katrin Ullrich, Jennifer Mack
, Pascal Welke:
Ligand Affinity Prediction with Multi-pattern Kernels. DS 2016: 474-489 - [c3]Pascal Welke, Ionut Andone, Konrad Blaszkiewicz, Alexander Markowetz:
Differentiating smartphone users by app usage. UbiComp 2016: 519-523 - 2015
- [c2]Pascal Welke, Tamás Horváth, Stefan Wrobel:
Probabilistic Frequent Subtree Kernels. NFMCP 2015: 179-193 - 2014
- [c1]Pascal Welke, Tamás Horváth, Stefan Wrobel:
On the Complexity of Frequent Subtree Mining in Very Simple Structures. ILP 2014: 194-209
Coauthor Index
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last updated on 2024-07-09 22:01 CEST by the dblp team
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