Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Subgraph search is very useful in many real-world applications. Hover, users may be overwhelmed by the masses of matches. ,  propose a subgraph skyline analysis problem, denoted as    $S^2A$      , to support more complicated analysis over graph data. Specifically, given a large graph   $G$      and a query graph   $q$     ,  want to find all the subgraphs   $g$      in   $G$     , such that   $g$      is graph isomorphic to   $q$      and not dominated by any other subgraphs. In order to improve the efficiency,  devise a hybrid feature encoding incorporating both structural and numeric features based on a partitioning strategy, and discuss how to optimize the space partitioning.  also present a skylayer index to facilitate the dynamic subgraph skyline computation. Moreover, an attribute cluster-based method is proposed to deal with the curse of dimensionality. Extensive experiments over real datasets confirm the effectiveness and efficiency of our algorithm.
['Weiguo Zheng', 'Xiang Lian', 'Lei Zou', 'Liang Hong', 'Dongyan Zhao']
I am writing a research paper on a idea Online Subgraph Skyline Analysis over Knowledge Graphs
[{"from": "human", "value": "I am writing a research paper on a idea Online Subgraph Skyline Analysis over Knowledge Graphs"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Subgraph search is very useful in many real-world applications. Hover, users may be overwhelmed by the masses of matches. ,  propose a subgraph skyline analysis problem, denoted as    $S^2A$      , to support more complicated analysis over graph data. Specifically, given a large graph   $G$      and a query graph   $q$     ,  want to find all the subgraphs   $g$      in   $G$     , such that   $g$      is graph isomorphic to   $q$      and not dominated by any other subgraphs. In order to improve the efficiency,  devise a hybrid feature encoding incorporating both structural and numeric features based on a partitioning strategy, and discuss how to optimize the space partitioning.  also present a skylayer index to facilitate the dynamic subgraph skyline computation. Moreover, an attribute cluster-based method is proposed to deal with the curse of dimensionality. Extensive experiments over real datasets confirm the effectiveness and efficiency of our algorithm."}]