Spremljaj
Franka Bause
Franka Bause
University of Vienna
Preverjeni e-poštni naslov na univie.ac.at
Naslov
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Navedeno
Leto
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
8992020
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
152019
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
142020
Gradual Weisfeiler-Leman: Slow and Steady Wins the Race
F Bause, NM Kriege
Learning on Graphs Conference, 20: 1-20: 18, 2022
62022
Maximally expressive GNNs for outerplanar graphs
F Bause, F Jogl, P Welke, M Thiessen
The Second Learning on Graphs Conference, 2023
42023
Metric indexing for graph similarity search
F Bause, DB Blumenthal, E Schubert, NM Kriege
Similarity Search and Applications: 14th International Conference, SISAP …, 2021
42021
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
22022
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
12024
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
12024
Computing Optimal Assignments in Linear Time for Graph Matching
NM Kriege, PL Giscard, F Bause, RC Wilson
arXiv: Computing Research Repository, 88, 2019
12019
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
Message-Passing on Directed Acyclic Graphs Prevents Over-Smoothing
A Roth, F Bause, NM Kriege, T Liebig
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