Horvath, Tamas

16 publications

MLJ 2025 Improving Graph Neural Networks Through Feature Importance Learning Fouad Alkhoury, Tamás Horváth, Christian Bauckhage, Stefan Wrobel
TMLR 2025 Learning to Rank Features to Enhance Graph Neural Networks for Graph Classification Fouad Alkhoury, Tamas Horvath, Christian Bauckhage, Stefan Wrobel
ECML-PKDD 2025 The Local Convexification Method and Its Application to Learning Weakly Convex Boolean Functions Eike Stadtländer, Tamás Horváth, Stefan Wrobel
MLJ 2022 A Generalized Weisfeiler-Lehman Graph Kernel Till Hendrik Schulz, Tamás Horváth, Pascal Welke, Stefan Wrobel
ECML-PKDD 2021 Learning Weakly Convex Sets in Metric Spaces Eike Stadtländer, Tamás Horváth, Stefan Wrobel
MLJ 2020 Effective Approximation of Parametrized Closure Systems over Transactional Data Streams Daniel Trabold, Tamás Horváth, Stefan Wrobel
ECML-PKDD 2020 Maximum Margin Separations in Finite Closure Systems Florian Seiffarth, Tamás Horváth, Stefan Wrobel
ECML-PKDD 2019 Maximal Closed Set and Half-Space Separations in Finite Closure Systems Florian Seiffarth, Tamás Horváth, Stefan Wrobel
MLJ 2019 Probabilistic and Exact Frequent Subtree Mining in Graphs Beyond Forests Pascal Welke, Tamás Horváth, Stefan Wrobel
ECML-PKDD 2018 Mining Tree Patterns with Partially Injective Homomorphisms Till Hendrik Schulz, Tamás Horváth, Pascal Welke, Stefan Wrobel
MLJ 2018 Probabilistic Frequent Subtrees for Efficient Graph Classification and Retrieval Pascal Welke, Tamás Horváth, Stefan Wrobel
ECML-PKDD 2013 Efficient Frequent Connected Induced Subgraph Mining in Graphs of Bounded Tree-Width Tamás Horváth, Keisuke Otaki, Jan Ramon
ECML-PKDD 2008 Efficient Frequent Connected Subgraph Mining in Graphs of Bounded Treewidth Tamás Horváth, Jan Ramon
MLJ 2006 Foreword Tamás Horváth, Akihiro Yamamoto
MLJ 2001 Relational Instance-Based Learning with Lists and Terms Tamás Horváth, Stefan Wrobel, Uta Bohnebeck
COLT 1997 Learning Logic Programs by Using the Product Homomorphism Method Tamás Horváth, Robert H. Sloan, György Turán