Sampling

pylibcugraph.uniform_random_walks(...[, ...])	Compute uniform random walks for each nodes in 'start_vertices'
pylibcugraph.biased_random_walks(...[, ...])	Compute biased random walks for each nodes in 'start_vertices'
pylibcugraph.node2vec_random_walks(...[, ...])	Computes random walks under node2vec sampling procedure.
pylibcugraph.homogeneous_uniform_neighbor_sample(...)	Performs uniform neighborhood sampling, which samples nodes from a graph based on the current node's neighbors, with a corresponding fan_out value at each hop.
pylibcugraph.homogeneous_uniform_temporal_neighbor_sample(...)	Performs uniform temporal neighborhood sampling, which samples nodes from a graph based on the current node's neighbors, with a corresponding fan_out value at each hop.
pylibcugraph.homogeneous_biased_neighbor_sample(...)	Performs biased neighborhood sampling, which samples nodes from a graph based on the current node's neighbors, with a corresponding fan_out value at each hop.
pylibcugraph.homogeneous_biased_temporal_neighbor_sample(...)	Performs biased temporal neighborhood sampling, which samples nodes from a graph based on the current node's neighbors, with a corresponding fan_out value at each hop.
pylibcugraph.heterogeneous_uniform_neighbor_sample(...)	Performs uniform neighborhood sampling, which samples nodes from a graph based on the current node's neighbors, with a corresponding fan_out value at each hop.
pylibcugraph.heterogeneous_uniform_temporal_neighbor_sample(...)	Performs uniform temporal neighborhood sampling, which samples nodes from a graph based on the current node's neighbors, with a corresponding fan_out value at each hop.
pylibcugraph.heterogeneous_biased_neighbor_sample(...)	Performs biased neighborhood sampling, which samples nodes from a graph based on the current node's neighbors, with a corresponding fan_out value at each hop.
pylibcugraph.heterogeneous_biased_temporal_neighbor_sample(...)	Performs biased temporal neighborhood sampling, which samples nodes from a graph based on the current node's neighbors, with a corresponding fan_out value at each hop.
pylibcugraph.negative_sampling(...[, ...])	Performs negative sampling, which is essentially a form of graph generation.
pylibcugraph.select_random_vertices(...)	Select random vertices from the graph