知识图谱是人工智能的重要基石. 各领域大规模知识图谱的构建和发布对知识图谱数据管理提出
了新的挑战. 以数据模型的结构和操作要素为主线, 对目前的知识图谱数据管理理论, 方法 …

The abundance of interconnected data has fueled the design and implementation of graph
generators reproducing real-world linking properties or gauging the effectiveness of graph …

Due to its simplicity, efficiency, and efficacy, naive Bayes (NB) has continued to be one of the
top 10 algorithms in the data mining and machine learning community. Of numerous …

Subgraph matching finds all distinct isomorphic embeddings of a query graph on a data
graph. For large graphs, current solutions face the scalability challenge due to expensive …

Background Graphs can represent biological networks at the molecular, protein, or species
level. An important query is to find all matches of a pattern graph to a target graph …

知识图谱是人工智能的重要基石. 各领域大规模知识图谱的构建和发布对知识图谱数据管理提出
了新的挑战. 以数据模型的结构和操作要素为主线, 对目前的知识图谱数据管理理论, 方法 …

Currently, a huge amount of biological data can be naturally represented by graphs, eg,
protein interaction networks, gene regulatory networks, etc. The need for indexing large …

In the emerging cloud computing paradigm, data owners become increasingly motivated to
outsource their complex data management systems from local sites to the commercial public …

The growing popularity of graph databases has generated interesting data management
problems, such as subgraph search, shortest-path query, reachability verification, and …

Graphs are being increasingly used to model a wide range of scientific data. Such
widespread usage of graphs has generated considerable interest in mining patterns from …