Neural subgraph counting on stream graphs via localized updates and monotonic learning
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DOI: 10.1371/journal.pone.0334724
Abstract: Graphs are a representative type of fundamental data structures. They are capable of representing complex association relationships in diverse domains. For large-scale graph processing, the stream graphs have become efficient tools to process dynamically evolving… read more here.
Keywords: subgraph counting; graphs; stream graphs; neural subgraph ... See more keywords