Invention Grant
- Patent Title: System for identifying typed graphlets
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Application No.: US16451956Application Date: 2019-06-25
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Publication No.: US11170048B2Publication Date: 2021-11-09
- Inventor: Ryan Rossi , Aldo Gael Carranza , David Arbour , Anup Rao , Sungchul Kim , Eunyee Koh
- Applicant: Adobe Inc.
- Applicant Address: US CA San Jose
- Assignee: Adobe Inc.
- Current Assignee: Adobe Inc.
- Current Assignee Address: US CA San Jose
- Agency: Finch & Maloney PLLC
- Main IPC: G06F16/00
- IPC: G06F16/00 ; G06F16/901 ; G06F17/18

Abstract:
A system is disclosed for identifying and counting typed graphlets in a heterogeneous network. A methodology implementing techniques for the disclosed system according to an embodiment includes identifying typed k-node graphlets occurring between any two selected nodes of a heterogeneous network, wherein the nodes are connected by one or more edges. The identification is based on combinatorial relationships between (k−1)-node typed graphlets occurring between the two selected nodes of the heterogeneous network. Identification of 3-node typed graphlets is based on computation of typed triangles, typed 3-node stars, and typed 3-paths associated with each edge connecting the selected nodes. The method further includes maintaining a count of the identified k-node typed graphlets and storing those graphlets with non-zero counts. The identified graphlets are employed for applications including visitor stitching, user profiling, outlier detection, and link prediction.
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