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- W3154586454 abstract "We introduce a method to find network motifs in knowledge graphs. Network motifs are useful patterns or meaningful subunits of the graph that recur frequently. We extend the common definition of a network motif to coincide with a basic graph pattern. We introduce an approach, inspired by recent work for simple graphs, to induce these from a given knowledge graph, and show that the motifs found reflect the basic structure of the graph. Specifically, we show that in random graphs, no motifs are found, and that when we insert a motif artificially, it can be detected. Finally, we show the results of motif induction on three real-world knowledge graphs." @default.
- W3154586454 created "2021-04-26" @default.
- W3154586454 creator A5001241443 @default.
- W3154586454 date "2021-04-16" @default.
- W3154586454 modified "2023-09-27" @default.
- W3154586454 title "Finding Motifs in Knowledge Graphs using Compression." @default.
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