| 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 | 987 | 2020 |
| TUDataset: a collection of benchmark datasets for learning with graphs (2020) C Morris, NM Kriege, F Bause, K Kersting, P Mutzel, M Neumann arXiv preprint arXiv:2007.08663, 2020 | 16 | 2020 |
| Computing optimal assignments in linear time for approximate graph matching NM Kriege, PL Giscard, F Bause, RC Wilson 2019 IEEE International Conference on Data Mining (ICDM), 349-358, 2019 | 15 | 2019 |
| TUDataset: A collection of benchmark datasets for learning with graphs. CoRR abs/2007.08663 (2020) C Morris, NM Kriege, F Bause, K Kersting, P Mutzel, M Neumann arXiv preprint arXiv:2007.08663, 2020 | 11 | 2020 |
| Gradual Weisfeiler-Leman: Slow and Steady Wins the Race F Bause, NM Kriege Learning on Graphs Conference, 20: 1-20: 18, 2022 | 7 | 2022 |
| Maximally expressive GNNs for outerplanar graphs F Bause, F Jogl, P Welke, M Thiessen The Second Learning on Graphs Conference, 2023 | 6 | 2023 |
| Metric indexing for graph similarity search F Bause, DB Blumenthal, E Schubert, NM Kriege Similarity Search and Applications: 14th International Conference, SISAP …, 2021 | 4 | 2021 |
| Preventing Representational Rank Collapse in MPNNs by Splitting the Computational Graph A Roth, F Bause, NM Kriege, T Liebig arXiv preprint arXiv:2409.11504, 2024 | 2 | 2024 |
| EmbAssi: embedding assignment costs for similarity search in large graph databases F Bause, E Schubert, NM Kriege Data Mining and Knowledge Discovery, 1-28, 2022 | 2 | 2022 |
| Approximating the graph edit distance with compact neighborhood representations F Bause, C Permann, NM Kriege Joint European Conference on Machine Learning and Knowledge Discovery in …, 2024 | 1 | 2024 |
| Computing Optimal Assignments in Linear Time for Graph Matching NM Kriege, PL Giscard, F Bause, RC Wilson arXiv: Computing Research Repository, 88, 2019 | 1 | 2019 |
| On the two sides of redundancy in graph neural networks F Bause, S Moustafa, J Langguth, WN Gansterer, NM Kriege Joint European Conference on Machine Learning and Knowledge Discovery in …, 2024 | | 2024 |
| Removing Redundancy in Graph Neural Networks F Bause, S Moustafa, WN Gansterer, NM Kriege | | 2023 |
| Maximally Expressive Graph Neural Networks for Outerplanar Graphs F Bause, F Jogl, P Indri, T Drucks, D Penz, NM Kriege, T Gärtner, P Welke, ... | | |
| Message-Passing on Directed Acyclic Graphs Prevents Over-Smoothing A Roth, F Bause, NM Kriege, T Liebig | | |
Nils M. KriegeUniversity of ViennaVerified email at univie.ac.at
