grekiki2/lean-hog

Lean-HoG

Incorporation of the House of Graphs into Lean.

Contributing

Project structure

• etc - various irrelevant files
• data - original HoG data files (a private submodule)
• convert - Python scripts for converting HoG data to Lean code
• src - Lean code

How to compile the code

Assuming you have installed Lean 3 and Mathlib, after cloning this repository, you may run

• make convert - convert HoG data to Lean files
• make build or leanpkg build - compile all the Lean files
• make clean - delete the generated Lean files
• make to convert and build

Building all Lean files is currently not feasible. The default limit is set in the Makefile. It is possible to provide two optional parameters:

• LIMIT=n processes only n graphs,
• SKIP=m skips the first m graphs.

Obtaining House of Graphs data

It is tricky to obtain the House of graphs data because the project only offers an interactive web page. We hhave downloaded the data, but are not allowed to share it publicly, so you will have to do it yourself. Place the data in the data folder.

If you have the data in a git repository, you may add it as a submodule:

git submodule add <repository-with-hog-data> data

What if I don't have the House of Graphs data?

We included a small sample. Uncomment the relevant line in Makefile.

Reading and references

Lean

• Logical verification 2020 - textbook
• The Natural Number Game
• A Metaprogramming Framework for Formal Verification
• How to connect Mathematica and Lean

Other

• NAUTY - computing authomorphism groups of graphs and digraphs (also computes canonical labellings)

House of Graphs

The House of Graphs is a database of simple graphs, encoded in the graph6 format, with a collection of precomputed invariants:

Invariant	Type	Description
Acyclic	bool	A graph is said to be acyclic if it contains no cycle.
Bipartite	bool	A graph G is bipartite if it is possible to partition the set of vertices of G into two subsets A and B such that every edge of G joins a vertex of A to a vertex of B.
Claw-Free	bool	A graph is Claw-Free if it does not contain a K_{1,3} as an induced subgraph.
Connected	bool	A graph G is connected if every pair of vertices in G are joined by a path.
Eulerian	bool	A graph is Eulerian if it contains an Eulerian circuit. An Eulerian circuit is a closed walk which visits each edge of the graph exactly once.
Hamiltonian	bool	A graph is Hamiltonian if it contains a Hamiltonian cycle. A Hamiltonian cycle is a cycle which contains every vertex of the graph.
Planar	bool	A graph is Planar if it can be drawn in the plane without crossing edges.
Regular	bool	A graph is said to be regular if all of the degrees of its vertices are equals.
Chromatic Index	int	The (edge) chromatic index of a graph G is the minimum number of different colors required to color the edges of G such that two edges incident to the same vertex have different colors.
Chromatic Number	int	The chromatic number of a graph G is the minimum number of different colors required to color the vertices of G such that two adjacent vertices have different colors.
Circumference	int	The circumference of a graph is the order of the largest subgraph of the graph that is a cyclic graph.
Clique Number	int	The clique number of a graph G is the maximum cardinality of a clique in G.
Diameter	int	The diameter D of a graph G=(V,E) is the maximum distance between two vertices of G, i.e. the "longest shortest path" in G.
Edge Connectivity	int	The edge connectivity of a graph G is the smallest number of edges of G whose deletion will cause G to not be connected.
Genus	int	The genus of a graph is the minimal integer n such that the graph can be drawn without crossing itself on a sphere with n handles (i.e. an oriented surface of genus n). Thus, a planar graph has genus 0, because it can be drawn on a sphere without self-crossing.
Girth	int	The girth of G is the length of the shortest cycle (if any) in G.
Longest Induced Cycle	int	The order of the largest induced subgraph of the graph that is a cycle.
Longest Induced Path	int	The number of edges of the longest induced path of the graph.
Matching Number	int	The matching number of a graph G is the maximum cardinality of the maximal matchings of G.
Maximum Degree	int	The maximum degree of a graph G=(V,E) is the maximum value amongst all the degrees of its vertices.
Minimum Degree	int	The minimum degree of a graph G=(V,E) is the minimum value amongst all the degrees of its vertices.
Minimum Dominating Set	int	The domination number of a graph G is the minimum cardinality of a set of vertices such that every vertices is either in the set or is a neighbor of a vertex in the set.
Number of Components	int
Number of Edges	int
Number of Triangles	int
Number of Vertices	int
Radius	int	Let G = (V,E) be a graph. The eccentricity of a vertex v in V is the maximum distance between v and any other vertex in V. The radius of G is the minimum eccentricity of its vertices.
Vertex Connectivity	int	The vertex connectivity of a graph G is the smallest number of vertices of G whose deletion will cause G to be disconnected.
Average Degree	float	The average degree of a graph G is the (arithmetic) mean of the degrees of its vertices.
Density	float	The density of a graph G = (V,E) is the number of edges divided by the largest possible number of edges of the graph (i.e.
various eigenvalues	float
Algebraic Connectivity	float	https://hog.grinvin.org/ShowInvariant.action?id=19
Index	float	The index or spectral radius of a graph is the greatest eigenvalue of its adjacency matrix.
Laplacian Largest Eigenvalue	float	https://hog.grinvin.org/ShowInvariant.action?id=22
Second Largest Eigenvalue	float	The second largest eigenvalue of a graph is the second largest eigenvalue of its adjacency matrix.
Smallest Eigenvalue	float	The smallest eigenvalue of a graph is the smallest eigenvalue of its adjacency matrix.

The following special values are used in the database:

• infinity
• undefined - the value is not well-defined, or the data are missing in the database
• Computation time out