Systems and methods for estimating typed graphlets in large data
AssigneeAdobe Inc.
InventorsRyan ROSSI, Tung MAI, Anup RAO
Life of this patent
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AssigneeAdobe Inc.
InventorsRyan ROSSI, Tung MAI, Anup RAO
Estimating the term…
A system and method for fast, accurate, and scalable typed graphlet estimation. The system and method utilizes typed edge sampling and typed path sampling to estimate typed graphlet counts in large graphs in a small fraction of the computing time of existing systems. The obtained unbiased estimates of typed graphlets are highly accurate, and have applications in the analysis, mining, and predictive modeling of massive real-world networks. During operation, the system obtains a dataset indicating nodes and edges of a graph. The system samples a portion of the graph and counts a number of graph features in the sampled portion of the graph. The system then computes an occurrence frequency of a typed graphlet pattern and a total number of typed graphlets associated with the typed graphlet pattern in the graph.
A method for estimating a total number of typed graphlets in a graph, comprising:
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A computer system comprising:
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A non-transitory computer-readable storage medium storing instructions that when executed by a computer cause the computer to perform a method for estimating a total number of typed graphlets in a graph, the method comprising:
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Dependencies are inferred from the claim text.