that are narrowly-scoped to only include necessary permissions.
        Failure to do so may result in data corruption or loss, since the calling
        code may attempt commands that would result in deletion, mutation
        of data if appropriately prompted or reading sensitive data if such
        data is present in the database.
        The best way to guard against such negative outcomes is to (as appropriate)
        limit the permissions granted to the credentials used with this tool.
        See https://python.langchain.com/docs/security for more information.
    """
[docs]    def __init__(self, graph: Optional[Any] = None) -> None:
        """Create a new graph."""
        try:
            import networkx as nx
        except ImportError:
            raise ImportError(
                "Could not import networkx python package. "
                "Please install it with `pip install networkx`."
            )
        if graph is not None:
            if not isinstance(graph, nx.DiGraph):
                raise ValueError("Passed in graph is not of correct shape")
            self._graph = graph
        else:
            self._graph = nx.DiGraph()
[docs]    @classmethod
    def from_gml(cls, gml_path: str) -> NetworkxEntityGraph:
        try:
            import networkx as nx
        except ImportError:
            raise ImportError(
                "Could not import networkx python package. "
                "Please install it with `pip install networkx`."
            )
        graph = nx.read_gml(gml_path)
        return cls(graph)
[docs]    def add_triple(self, knowledge_triple: KnowledgeTriple) -> None:
        """Add a triple to the graph."""
        # Creates nodes if they don't exist
        # Overwrites existing edges