mindspore_gl.graph

Graph abstraction and data interface.

mindspore_gl.graph.add_self_loop	ADD the self loop from the input coo matrix.
mindspore_gl.graph.batch_graph_csr_data	Convert the batched graph in the COO format to the CSR format.
mindspore_gl.graph.get_laplacian	Get laplacian matrix.
mindspore_gl.graph.graph_csr_data	Convert the entire graph in the COO format to the CSR format.
mindspore_gl.graph.norm	graph laplacian normalization.
mindspore_gl.graph.remove_self_loop	Remove the diagonal matrix from the input matrix object, you can choose to operate on a dense matrix or a matrix in COO format.
mindspore_gl.graph.BatchHomoGraph	BatchHomoGraph, batch list of MindHomoGraph into a single MindHomoGraph with some batch_meta information.
mindspore_gl.graph.BatchMeta	BatchMeta, meta information for a batched graph.
mindspore_gl.graph.CsrAdj	Build the CSR matrix nametuple.
mindspore_gl.graph.MindHomoGraph	Build homo graph.
mindspore_gl.graph.PadArray2d	PadArray2d, specific pad operator for 2D array.
mindspore_gl.graph.PadCsrEdge	PadCsrEdge, specific pad operator for coo edges.
mindspore_gl.graph.PadDirection	Padding Direction for 2d array specifically.
mindspore_gl.graph.PadHomoGraph	Pad MindHomoGraph, We pad graph by adding additional nodes and edges between these nodes.
mindspore_gl.graph.PadMode	Padding Mode, for graph and 2D array.
mindspore_gl.graph.UnBatchHomoGraph	Return list of MindHomoGraph from a Batched MindHomoGraph.
mindspore_gl.graph.sampling_csr_data	Convert the sampling graph in the COO format to the CSR format.