Pascal Welke

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 33

Top Venues

CoRR

Mach. Learn.

ACL (1)

University of Bonn, Germany (PHD)

Education History

University of Bonn, Germany

PHD

Publications

Alexander Pluska, Pascal Welke, Thomas Gärtner, Sagar Malhotra
Logical Distillation of Graph Neural Networks. CoRR (2024)
Raffaele Paolino, Sohir Maskey, Pascal Welke, Gitta Kutyniok
Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph Representational Learning. CoRR (2024)
Sebastian Müller, Vanessa Toborek, Katharina Beckh, Matthias Jakobs, Christian Bauckhage, Pascal Welke
An Empirical Evaluation of the Rashomon Effect in Explainable Machine Learning. CoRR (2023)
Ramsés J. Sánchez, Lukas Conrads, Pascal Welke, Kostadin Cvejoski, César Ojeda Marin
Hidden Schema Networks. ACL (1) (2023)
Pascal Welke, Maximilian Thiessen, Fabian Jogl, Thomas Gärtner
Expectation-Complete Graph Representations with Homomorphisms. CoRR (2023)
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)
Vanessa Toborek, Moritz Busch, Malte Boßert, Christian Bauckhage, Pascal Welke
A New Aligned Simple German Corpus. ACL (1) (2023)
Karishma Mohiuddin, Mirza Ariful Alam, Mirza Mohtashim Alam, Pascal Welke, Michael Martin, Jens Lehmann, Sahar Vahdati
Retention Is All You Need. CoRR (2023)
Karishma Mohiuddin, Mirza Ariful Alam, Mirza Mohtashim Alam, Pascal Welke, Michael Martin, Jens Lehmann, Sahar Vahdati
Retention is All You Need. CIKM (2023)
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)
Pascal Welke, Maximilian Thiessen, Fabian Jogl, Thomas Gärtner
Expectation-Complete Graph Representations with Homomorphisms. ICML (2023)
Till Hendrik Schulz, Pascal Welke, Stefan Wrobel
Graph Filtration Kernels. AAAI (2022)
Ramsés J. Sánchez, Lukas Conrads, Pascal Welke, Kostadin Cvejoski, César Ojeda
Hidden Schema Networks. CoRR (2022)
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 (2022)
Till Hendrik Schulz, Tamás Horváth, Pascal Welke, Stefan Wrobel
A generalized Weisfeiler-Lehman graph kernel. Mach. Learn. 111 (7) (2022)
Richard Palme, Pascal Welke
Frequent Generalized Subgraph Mining via Graph Edit Distances. PKDD/ECML Workshops (2) (2022)
Vanessa Toborek, Moritz Busch, Malte Boßert, Christian Bauckhage, Pascal Welke
A New Aligned Simple German Corpus. CoRR (2022)
Till Hendrik Schulz, Pascal Welke, Stefan Wrobel
Graph Filtration Kernels. CoRR (2021)
Till Hendrik Schulz, Tamás Horváth, Pascal Welke, Stefan Wrobel
A Generalized Weisfeiler-Lehman Graph Kernel. CoRR (2021)
Janis Kalofolias, Pascal Welke, Jilles Vreeken
SUSAN: The Structural Similarity Random Walk Kernel. SDM (2021)
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 (2021)
Pascal Welke, Fouad Alkhoury, Christian Bauckhage, Stefan Wrobel
Decision Snippet Features. ICPR (2020)
Pascal Welke, Florian Seiffarth, Michael Kamp, Stefan Wrobel
HOPS: Probabilistic Subtree Mining for Small and Large Graphs. KDD (2020)
Pascal Welke
Efficient Frequent Subgraph Mining in Transactional Databases. DSAA (2020)
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 (2020)
Pascal Welke, Tamás Horváth, Stefan Wrobel
Probabilistic and exact frequent subtree mining in graphs beyond forests. Mach. Learn. 108 (7) (2019)
Pascal Welke, Tamás Horváth, Stefan Wrobel
Probabilistic frequent subtrees for efficient graph classification and retrieval. Mach. Learn. 107 (11) (2018)
Till Hendrik Schulz, Tamás Horváth, Pascal Welke, Stefan Wrobel
Mining Tree Patterns with Partially Injective Homomorphisms. ECML/PKDD (2) (2018)
Pascal Welke
Simple Necessary Conditions for the Existence of a Hamiltonian Path with Applications to Cactus Graphs. CoRR (2017)
Pascal Welke, Ionut Andone, Konrad Blaszkiewicz, Alexander Markowetz
Differentiating smartphone users by app usage. UbiComp (2016)
Pascal Welke, Tamás Horváth, Stefan Wrobel
Min-Hashing for Probabilistic Frequent Subtree Feature Spaces. DS (2016)
Katrin Ullrich, Jennifer Mack, Pascal Welke
Ligand Affinity Prediction with Multi-pattern Kernels. DS (2016)
Pascal Welke, Alexander Markowetz, Torsten Suel, Maria Christoforaki
Three-hop distance estimation in social graphs. IEEE BigData (2016)
Pascal Welke, Tamás Horváth, Stefan Wrobel
Probabilistic Frequent Subtree Kernels. NFMCP (2015)
Pascal Welke, Tamás Horváth, Stefan Wrobel
On the Complexity of Frequent Subtree Mining in Very Simple Structures. ILP (2014)

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Publication Activity (10 Years)

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Pascal Welke