gSpan: graph-based substructure pattern mining …

. We investigate new approaches for frequent graph-based pattern mining in graph datasets and propose a novel algorithm called gSpan (graph-based substructure pattern mining), which discovers frequent substructures without candidate generation. gSpan builds a new lexicographic order among graphs, and maps each graph to a unique minimum ...

gSpan: graph-based substructure pattern mining - IEEE …

We investigate new approaches for frequent graph-based pattern mining in graph datasets and propose a novel algorithm called gSpan (graph-based substructure pattern mining), which discovers frequent substructures without candidate generation. gSpan builds a new lexicographic order among graphs, and maps each graph to a unique minimum DFS code as …

gSpan | Proceedings of the 2002 IEEE International …

We investigate new approaches for frequent graph-basedpattern mining in graph datasets and propose a novel algorithmcalled gSpan (graph-based Substructure pattern mining),which discovers frequent substructures without candidategeneration. gSpan builds a new lexicographic orderamong graphs, and maps each graph to a unique minimumDFS code as its …

gSpan: Graph-Based Substructure Pattern Mining

The gSpan Algorithm Step 11: D D e Very important step! Because of Lexicographic DFS, have already mined ALL subgraphs containing edge e Remove all instances of edge e from graph dataset Mining process takes less time for later iterations Drastically improves e ciency! Xifeng Yan and Jiawei Han gSpan: Graph-Based Substructure Pattern Mining

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gSpan: Graph-Based Substructure Pattern Mining -

2-edge1-edge Pruned 2025 30 35 40 45 D10kI 5T20σ0. 01 FSG D1 0kI 5T20σ0. 01 gSpan 2025 30 35 40 45 D10kI 7T40σ0. 01 FSG D1 0kI 7T40σ0. 01 gSpan 50200 250 300 350 00200 300 400 500 600 Si ze GraphSet (x1 02inducedgSpan 01gSpan 50200 250 300 350 2030 40 50 60 70 80 90 00Si ze GraphSet (x1 02inducedgSpan 01gSpan 2025 30 Supportthreashol ...

gSpan: Graph-based substructure pattern mining — …

We investigate new approaches for frequent graph-based pattern mining in graph datasets and propose a novel algorithm called gSpan (graph-based Substructure pattern mining), which discovers frequent substructures without candidate generation. gSpan builds a new lexicographic order among graphs, and maps each graph to a unique minimum DFS code as its canonical …

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gspan-mining · PyPI

Implementation of frequent subgraph mining algorithm gSpan. For Chinese readme, please go to README-Chinese.. gSpan is an algorithm for mining frequent subgraphs.. This program implements gSpan with Python.

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