Webdgl.DGLGraph.remove_nodes¶ DGLGraph. remove_nodes (nids, ntype = None, store_ids = False) [source] ¶ Remove multiple nodes with the specified node type. Edges that … Webdgl.DGLGraph.apply_nodes¶ DGLGraph. apply_nodes (func, v = '__ALL__', ntype = None) [source] ¶ Update the features of the specified nodes by the provided function. …
对大规模Graph训练GNN (挑战 (Graph data (Large, Sparse), train …
WebIt returns a generator of :class:`~dgl.NodeFlow`. This can be viewed as an analogy of *mini-batch training* on graph data -- the given graph represents the whole dataset and the returned generator produces mini-batches (in the form of :class:`~dgl.NodeFlow` objects). A NodeFlow grows from sampled nodes. WebAttentiveFP ¶ class dgllife.model.gnn.attentivefp.AttentiveFPGNN (node_feat_size, edge_feat_size, num_layers = 2, graph_feat_size = 200, dropout = 0.0) [source] ¶. Pushing the Boundaries of Molecular Representation for Drug Discovery with the Graph Attention Mechanism. This class performs message passing in AttentiveFP and returns the … how to talk to kids about autism
dgl.DGLGraph.apply_nodes — DGL 1.1 documentation
WebWe would like to show you a description here but the site won’t allow us. Webclass NodeFlow (DGLGraph): def __init__ (self, parent, node_mapping, edge_mapping, graph_data): """Construct a nodeflow. parent : DGLGraph The parent flat graph. … WebFeb 27, 2024 · I have a requirement to deliver NodeFlow object in different processes. The code is as following. q = multiprocessing.Queue() def read_loader(loader, q): for nf in loader: #nf.copy_from_parents() q.put(nf) g = dgl.contrib.graph_store.create_graph_from_store( args.dataset, "shared_mem") train_loader = dgl.contrib.sampling.NeighborSampler(g, … reah cc