Pinned Repositories
datasets
tudataset
elki
ELKI Data Mining Toolkit
EmbAssi
Source code for the paper: Bause, F., Schubert, E. & Kriege, N.M. EmbAssi: embedding assignment costs for similarity search in large graph databases. Data Min Knowl Disc (2022). https://doi.org/10.1007/s10618-022-00850-3
frareba.github.io
GradualWeisfeilerLeman
Source code for the paper: F. Bause and N.M. Kriege, Gradual Weisfeiler-Leman: Slow and Steady Wins the Race. Proceedings of the First Learning on Graphs Conference (LoG 2022), PMLR 198, Virtual Event, December 9–12, 2022. https://arxiv.org/abs/2209.09048
MultiClassBlockGraphGenerator
NeighborhoodTrees
Source code for the paper: Bause, F., Permann, C. & Kriege, N.M. Approximating the Graph Edit Distance with Compact Neighborhood Representations. ECML PKDD (2024).
k-RedundancyGNNs
Source code for the paper: Bause, F., Moustafa, S., Langguth, J., Gansterer, W.N., Kriege, N.M.; On the Two Sides of Redundancy in Graph Neural Networks. (ECML PKDD 2024)
frareba's Repositories
frareba/elki
ELKI Data Mining Toolkit
frareba/EmbAssi
Source code for the paper: Bause, F., Schubert, E. & Kriege, N.M. EmbAssi: embedding assignment costs for similarity search in large graph databases. Data Min Knowl Disc (2022). https://doi.org/10.1007/s10618-022-00850-3
frareba/frareba.github.io
frareba/GradualWeisfeilerLeman
Source code for the paper: F. Bause and N.M. Kriege, Gradual Weisfeiler-Leman: Slow and Steady Wins the Race. Proceedings of the First Learning on Graphs Conference (LoG 2022), PMLR 198, Virtual Event, December 9–12, 2022. https://arxiv.org/abs/2209.09048
frareba/MultiClassBlockGraphGenerator
frareba/NeighborhoodTrees
Source code for the paper: Bause, F., Permann, C. & Kriege, N.M. Approximating the Graph Edit Distance with Compact Neighborhood Representations. ECML PKDD (2024).