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* **[[https://arxiv.org/abs/1812.03074|Fixed-Parameter Algorithms for the Weighted Max-Cut Problem on Embedded 1-Planar Graphs]]** \\ Christine Dahn, Nils M. Kriege, Petra Mutzel, Julian Schilling, ''arXiv:1812.03074''. | * **[[https://arxiv.org/abs/1812.03074|Fixed-Parameter Algorithms for the Weighted Max-Cut Problem on Embedded 1-Planar Graphs]]** \\ Christine Dahn, Nils M. Kriege, Petra Mutzel, Julian Schilling, ''arXiv:1812.03074''. | ||
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- | * **[[https://doi.org/10.7287/peerj.preprints.26612v1|Protein Complex Similarity based on Weisfeiler-Lehman labeling]]** \\ Bianca K. Stöcker, Till Schäfer, Petra Mutzel, Johannes Köster, Nils Kriege, Sven Rahmann \\ PeerJ Preprints, vol. 6, e26612v1, 2018. | ||
* **[[https://arxiv.org/abs/1703.00676|A Unifying View of Explicit and Implicit Feature Maps for Structured Data: Systematic Studies of Graph Kernels]]** \\ Nils M. Kriege, Marion Neumann, Christopher Morris, Kristian Kersting, Petra Mutzel, ''arXiv:1703.00676''. | * **[[https://arxiv.org/abs/1703.00676|A Unifying View of Explicit and Implicit Feature Maps for Structured Data: Systematic Studies of Graph Kernels]]** \\ Nils M. Kriege, Marion Neumann, Christopher Morris, Kristian Kersting, Petra Mutzel, ''arXiv:1703.00676''. | ||
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=== Refereed Conference Proceedings === | === Refereed Conference Proceedings === | ||
- | * **Deep Weisfeiler-Lehman Assignment Kernels via Multiple Kernel Learning** \\ Nils M. Kriege \\ European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN) 2019, accepted for publication. | + | * **Protein Complex Similarity based on Weisfeiler-Lehman labeling** ([[https://doi.org/10.7287/peerj.preprints.26612v1|PeerJ Preprints, vol. 6, e26612v1]]) \\ Bianca K. Stöcker, Till Schäfer, Petra Mutzel, Johannes Köster, Nils Kriege, Sven Rahmann \\ International Conference on Similarity Search and Applications (SISAP) 2019, accepted for publication. |
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+ | * **[[https://www.elen.ucl.ac.be/Proceedings/esann/esannpdf/es2019-60.pdf|Deep Weisfeiler-Lehman Assignment Kernels via Multiple Kernel Learning]]** \\ Nils M. Kriege \\ European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN) 2019. | ||
* **[[http://dx.doi.org/10.4230/LIPIcs.MFCS.2018.54|Largest Weight Common Subtree Embeddings with Distance Penalties]]** (Preprint [[https://arxiv.org/abs/1805.00821|arXiv:1805.00821]]) \\ Andre Droschinsky, Nils M. Kriege, Petra Mutzel \\ International Symposium on Mathematical Foundations of Computer Science (MFCS) 2018, 54:1-54:15. | * **[[http://dx.doi.org/10.4230/LIPIcs.MFCS.2018.54|Largest Weight Common Subtree Embeddings with Distance Penalties]]** (Preprint [[https://arxiv.org/abs/1805.00821|arXiv:1805.00821]]) \\ Andre Droschinsky, Nils M. Kriege, Petra Mutzel \\ International Symposium on Mathematical Foundations of Computer Science (MFCS) 2018, 54:1-54:15. |