WebSplits elements of a dataset into multiple elements on the batch dimension. (deprecated) WebAs such, batch holds a total of 28,187 nodes involved for computing the embeddings of 128 “paper” nodes. Sampled nodes are always sorted based on the order in which they were sampled. Thus, the first batch ['paper'].batch_size nodes represent the set of original mini-batch nodes, making it easy to obtain the final output embeddings via slicing.

Subgraphing and batching Heterographs - Deep Graph Library

WebFunction that takes in a batch of data and puts the elements within the batch into a tensor with an additional outer dimension - batch size. The exact output type can be a … Web--batch_size BATCH_SIZE The batch size for training. --batch_size_eval BATCH_SIZE_EVAL The batch size used for validation and test. --neg_sample_size NEG_SAMPLE_SIZE The number of negative samples we use for each positive sample in the training. --neg_deg_sample Construct negative samples proportional to vertex … great hearts mesa az

dgl/batch.py at master · dmlc/dgl · GitHub

Webgraph ( DGLGraph) – A DGLGraph or a batch of DGLGraphs. feat ( torch.Tensor) – The input node feature with shape ( N, D), where N is the number of nodes in the graph, and D means the size of features. Returns The output feature with shape ( B, k ∗ D), where B refers to the batch size of input graphs. Return type torch.Tensor Webdgl.DGLGraph.batch_size¶ property DGLGraph. batch_size ¶ Return the number of graphs in the batched graph. Returns. The Number of graphs in the batch. If the graph is … Webdevice : The GPU device to evaluate on. # Loop over the dataloader to sample the computation dependency graph as a list of blocks. help="GPU device ID. Use -1 for CPU training") help='If not set, we will only do the training part.') help="Number of sampling processes. Use 0 for no extra process.") float glass surface defects formation pdf