An Upper Bound on the Weisfeiler-Leman Dimension
Thomas Schneider, Pascal Schweitzer

TL;DR
This paper establishes an upper bound of approximately 15% of the number of vertices on the Weisfeiler-Leman dimension of any graph, providing insights into the complexity of graph isomorphism testing.
Contribution
It introduces a new upper bound on the WL-dimension of graphs, linking it to graph size and analyzing structural properties via coherent configurations.
Findings
WL-dimension of an n-vertex graph is at most 0.15 * n + o(n)
Develops techniques analyzing coherent configurations and their structure
Provides bounds for graphs with small fiber sizes
Abstract
The Weisfeiler-Leman (WL) algorithms form a family of incomplete approaches to the graph isomorphism problem. They recently found various applications in algorithmic group theory and machine learning. In fact, the algorithms form a parameterized family: for each there is a corresponding -dimensional algorithm . The algorithms become increasingly powerful with increasing dimension, but at the same time the running time increases. The WL-dimension of a graph is the smallest for which correctly decides isomorphism between and every other graph. In some sense, the WL-dimension measures how difficult it is to test isomorphism of one graph to others using a fairly general class of combinatorial algorithms. Nowadays, it is a standard measure in descriptive complexity theory for the structural complexity of a graph.…
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Taxonomy
TopicsMathematics and Applications
