DistEdgeDataLoader(g, eids, graph_sampler, device=None, **kwargs)¶
Sampled graph data loader over edges for distributed graph storage.
It wraps an iterable over a set of edges, generating the list of message flow graphs (MFGs) as computation dependency of the said minibatch for edge classification, edge regression, and link prediction, on a distributed graph.
__init__(g, eids, graph_sampler, device=None, **kwargs)¶
Initialize self. See help(type(self)) for accurate signature.
__init__(g, eids, graph_sampler[, device])