gammagl.transforms

gammagl.transforms.BaseTransform	An abstract base class for writing transforms.
gammagl.transforms.AddMetaPaths	Adds additional edge types to a HeteroGraph object between the source node type and the destination node type of a given metapath, as described in the "Heterogenous Graph Attention Networks" paper.
gammagl.transforms.Compose	Composes several transforms together.
gammagl.transforms.SIGN	The Scalable Inception Graph Neural Network module (SIGN) from the "SIGN: Scalable Inception Graph Neural Networks" paper (functional name: sign), which precomputes the fixed representations
gammagl.transforms.NormalizeFeatures	Row-normalizes the attributes given in attrs to sum-up to one (functional name: normalize_features).
gammagl.transforms.DropEdge	Randomly drop edges, as described in DropEdge: Towards Deep Graph Convolutional Networks on Node Classification paper.
gammagl.transforms.RandomLinkSplit	Performs an edge-level random split into training, validation and test sets of a Graph or a HeteroGraph object (functional name: random_link_split).
gammagl.transforms.mask_test_edges
gammagl.transforms.sparse_to_tuple