Parallel top-k subgraph query in massive graphs: Computing from the perspective of single vertex. Abstract: In the real world, many problems on massive graphs ...
Parallel top-k subgraph query in massive graphs: Computing from the perspective of single vertex. Abstract: In the real world, many problems on massive graphs ...
Secondly, we propose a parallel top-k subgraph query algorithm at the level of vertex. With such algorithm, each vertex in massive graph obtains its matching ...
Secondly, we propose a parallel top-k subgraph query algorithm at the level of vertex. With such algorithm, each vertex in massive graph obtains its matching ...
Abstract: In the real world, many problems on massive graphs can be mapped to an underlying critical problem of discovering top-k subgraphs. For mas.
Parallel top-k subgraph query in massive graphs: Computing from the perspective of single vertex ... Achieving high k-coverage and k-consistency in global ...
Parallel top-k subgraph query in massive graphs: Computing from the perspective of single vertex. Citation Details. Title: Parallel top-k subgraph query in ...
MGNN: A multimodal graph neural network for predicting the ... Parallel top-k subgraph query in massive graphs: Computing from the perspective of single vertex.
ABSTRACT. Subgraph listing is a fundamental operation to many graph and net- work analyses. The problem itself is computationally expensive.
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Top-K aggregation over a large graph using shared-nothing systems ...
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An update-based algorithm that minimizes network overhead by propagating updates in the neighborhood information is proposed that partitions a graph across ...