Követés
Nils M. Kriege
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
9872020
A survey on graph kernels
NM Kriege, FD Johansson, C Morris
Applied Network Science 5, 1-42, 2020
5532020
Subgraph matching kernels for attributed graphs
N Kriege, P Mutzel
International Conference on Machine Learning (ICML), 2012
3492012
Benchmark data sets for graph kernels
K Kersting, NM Kriege, C Morris, P Mutzel, M Neumann
http://graphkernels.cs.tu-dortmund. de, 2016
3092016
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
2692016
Deep graph matching consensus
M Fey, JE Lenssen, C Morris, J Masci, NM Kriege
International Conference on Learning Representations, ICLR 2020, 2020
2552020
Weisfeiler and Leman go Machine Learning: The Story so far
C Morris, Y Lipman, H Maron, B Rieck, NM Kriege, M Grohe, M Fey, ...
Journal of Machine Learning Research 24 (333), 1-59, 2023
1482023
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
1362016
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
822011
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), 28, 2017
652017
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
432019
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
412018
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
392018
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
38*2019
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
342014
The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs
C Morris, M Fey, NM Kriege
arXiv preprint arXiv:2105.05911, 2021
332021
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
312020
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
252013
Temporal Walk Centrality: Ranking Nodes in Evolving Networks
L Oettershagen, P Mutzel, NM Kriege
Proceedings of the ACM Web Conference 2022, 1640-1650, 2022
232022
Chemical Similarity and Substructure Searches
NM Kriege, L Humbeck, O Koch
Elsevier, 2018
182018
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Cikkek 1–20