Add example to motivation
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README.md
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README.md
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and [induced subgraph isomorphisms](https://en.wikipedia.org/wiki/Induced_subgraph_isomorphism_problem).
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Graphs can be directed or undirected.
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# Features
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- [x] Enumerate graph isomorphisms
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- [x] Enumerate subgraph isomorphisms
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- [x] Enumerate induced subgraph isomorphisms
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- [x] Support directed graphs
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- [x] Support undirected graphs
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- [x] Support disconnected graphs
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- [x] Support node labels
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- [x] Support edge labels
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- [x] Graph trait
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# Motivation
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Subgraph matching is the task of finding instances of a query graph within a larger data graph. It is useful when
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searching for patterns in a graph structure, such as relationships within a social network. It is a fundamental
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searching for patterns in a graph structure, such as searching a graph database. It is a fundamental
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problem in graph theory with applications in pattern recognition, databases, security, and biochemistry.
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An illustrative example is finding relationships in social networks. Consider a network like LinkedIn where each node is
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a person, and each edge represents a connection. You are tasked with finding cases where five software developers and a
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doctor all know each other. You can make a query graph with developers and a doctor, and search for instances of that
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query in the larger network.
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# What is a subgraph isomorphism?
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A graph is a structure consisting of a set of objects where some pairs of objects are connected. A graph isomorphism is
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@ -65,6 +58,18 @@ the data subgraph must also exist in the query graph.
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# Features
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- [x] Enumerate graph isomorphisms
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- [x] Enumerate subgraph isomorphisms
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- [x] Enumerate induced subgraph isomorphisms
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- [x] Support directed graphs
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- [x] Support undirected graphs
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- [x] Support disconnected graphs
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- [x] Support node labels
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- [x] Support edge labels
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- [x] Graph trait
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# Usage
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Add `vf2` to your dependencies in **Cargo.toml**.
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