Nils M. Kriege

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Petra MutzelProfessorin für Informatik, Universität BonnVerified email at cs.uni-bonn.de
Christopher MorrisRWTH AachenVerified email at christophermorris.info
Kristian KerstingProfessor of AI & Machine Learning, TU Darmstadt, Co-Director of hessian.ai, Germany, CLAIRE & ELLISVerified email at cs.tu-darmstadt.de
Marion NeumannWashington University in St. LouisVerified email at wustl.edu
Karsten KleinUniversity of Konstanz, GermanyVerified email at uni-konstanz.de
Franka BauseUniversity of ViennaVerified email at univie.ac.at
Richard C WilsonDepartment of Computer Science, University of YorkVerified email at york.ac.uk
Pierre-Louis GiscardLecturer, Université du Littoral Côte d'OpaleVerified email at univ-littoral.fr
Matthias FeyFounding Engineer @ kumo.aiVerified email at tu-dortmund.de
Andre DroschinskyTU Dortmund UniversityVerified email at tu-dortmund.de
Fredrik D. JohanssonAssistant Professor, Chalmers University of TechnologyVerified email at chalmers.se
Jonathan MasciNNAISENSE SAVerified email at nnaisense.com
Jan Eric LenssenMax Planck Institute for InformaticsVerified email at mpi-inf.mpg.de
Lutz OettershagenUniversity of BonnVerified email at cs.uni-bonn.de
Sven RahmannSaarland UniversityVerified email at cs.uni-saarland.de
Florian KurpiczKarlsruhe Institute of TechnologyVerified email at kit.edu
Christian SohlerProfessor for Algorithmic Data Analysis, University of CologneVerified email at uni-koeln.de
Anja ReyComputer Science, TU DortmundVerified email at hhu.de
Johannes KösterUniversity of Duisburg-EssenVerified email at uni-due.de
Martin GroheProfessor of Computer Science, RWTH Aachen UniversityVerified email at informatik.rwth-aachen.de

Nils M. Kriege

University of Vienna

Verified email at univie.ac.at - Homepage

Combinatorial Optimization Graph Algorithms Data Mining Machine Learning Visual Analytics


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A survey on graph kernels NM Kriege, FD Johansson, C Morris Applied Network Science 5 (1), 1-42, 2020	235	2020
Benchmark data sets for graph kernels K Kersting, NM Kriege, C Morris, P Mutzel, M Neumann http://graphkernels.cs.tu-dortmund. de, 2016	217	2016
TUDataset: A collection of benchmark datasets for learning with graphs C Morris, NM Kriege, F Bause, K Kersting, P Mutzel, M Neumann arXiv preprint arXiv:2007.08663, 2020	207	2020
Subgraph matching kernels for attributed graphs N Kriege, P Mutzel International Conference on Machine Learning (ICML), 2012	194	2012
On valid optimal assignment kernels and applications to graph classification NM Kriege, PL Giscard, R Wilson Advances in Neural Information Processing Systems 29, 1623-1631, 2016	176	2016
Deep graph matching consensus M Fey, JE Lenssen, C Morris, J Masci, NM Kriege International Conference on Learning Representations, ICLR 2020, 2020	124	2020
Faster kernels for graphs with continuous attributes via hashing C Morris, NM Kriege, K Kersting, P Mutzel 2016 IEEE 16th International Conference on Data Mining (ICDM), 1095-1100, 2016	76	2016
CT-index: Fingerprint-based graph indexing combining cycles and trees K Klein, N Kriege, P Mutzel Data Engineering (ICDE), 2011 IEEE 27th International Conference on, 1115-1126, 2011	65	2011
Scaffold Hunter: a comprehensive visual analytics framework for drug discovery T Schäfer, N Kriege, L Humbeck, K Klein, O Koch, P Mutzel Journal of cheminformatics 9 (1), 1-18, 2017	41	2017
Explicit versus implicit graph feature maps: A computational phase transition for walk kernels N Kriege, M Neumann, K Kersting, P Mutzel 2014 IEEE International Conference on Data Mining, 881-886, 2014	33	2014
A unifying view of explicit and implicit feature maps of graph kernels NM Kriege, M Neumann, C Morris, K Kersting, P Mutzel Data Mining and Knowledge Discovery 33 (6), 1505-1547, 2019	26*	2019
A general purpose algorithm for counting simple cycles and simple paths of any length PL Giscard, N Kriege, RC Wilson Algorithmica 81 (7), 2716–2737, 2019	22	2019
A Property Testing Framework for the Theoretical Expressivity of Graph Kernels NM Kriege, C Morris, A Rey, C Sohler Proceedings of the Twenty-Seventh International Joint Conference on …, 2018	22	2018
Visual analysis of biological activity data with scaffold hunter K Klein, O Koch, N Kriege, P Mutzel, T Schäfer Molecular Informatics 32 (11‐12), 964-975, 2013	21	2013
Recognizing cuneiform signs using graph based methods NM Kriege, M Fey, D Fisseler, P Mutzel, F Weichert International Workshop on Cost-Sensitive Learning, 31-44, 2018	19	2018
Scaffold hunter: facilitating drug discovery by visual analysis of chemical space K Klein, N Kriege, P Mutzel Computer Vision, Imaging and Computer Graphics. Theory and Application, 176-192, 2013	14	2013
Faster Algorithms for the Maximum Common Subtree Isomorphism Problem A Droschinsky, NM Kriege, P Mutzel 41st International Symposium on Mathematical Foundations of Computer Science …, 2016	12	2016
Weisfeiler and Leman go Machine Learning: The Story so far C Morris, Y Lipman, H Maron, B Rieck, NM Kriege, M Grohe, M Fey, ... arXiv preprint arXiv:2112.09992, 2021	10	2021
Temporal Graph Kernels for Classifying Dissemination Processes L Oettershagen, NM Kriege, C Morris, P Mutzel Proceedings of the 2020 SIAM International Conference on Data Mining, 496-504, 2020	10	2020
Practical SAHN clustering for very large data sets and expensive distance metrics NKPMT Schäfer J Graph Algorithms Appl 18 (4), 577-602, 2014	10	2014

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