Engineering an Efficient Canonical Labeling Tool for Large and Sparse Graphs
By Tommi A. Junttila, Petteri Kaski. Workshop on Algorithm Engineering and Experimentation, 2007
323 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Signal Processing
View Paper: https://www.semanticscholar.org/paper/520106ebeff0ebd5fd9e5de911bf644f446ac715
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Theory and Mathematics
- Paul Tonelli
- Pascal Schweitzer
- Jean-Baptiste Mouret
- Martin Grohe
- Paul S. Bonsma
- Christoph Berkholz
- Christopher Morris
- Kenneth O. Stanley
In Computer Vision and Pattern Recognition
- Paul Tonelli
- Jean-Baptiste Mouret
- Martin Grohe
- Paul S. Bonsma
- Christoph Berkholz
- Pascal Schweitzer
- Kenneth O. Stanley
- Joel Lehman
In Signal Processing
Citations in the corpus
- Detecting Similar Programs via The Weisfeiler-Leman Graph Kernel (2016, methodology): “The procedure is for example employed in the currently fastest practical isomorphism solvers (such as Nauty and Traces [18], Bliss [11] and saucy [4]).”
- Tight Lower and Upper Bounds for the Complexity of Canonical Colour Refinement (2013, methodology): “Our data structures are similar to those described by Junttila and Kaski [8].”
- Practical graph isomorphism, II (2013, unknown): “A limited form of this idea appeared in Bliss (Junttila and Kaski, 2007), and also appears in a recent version of saucy (Darga et al.”
- On the Relationships between Generative Encodings, Regularity, and Learning Abilities when Evolving Plastic Artificial Neural Networks (2013, methodology): “In the present work, we use the Bliss library [45].”