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 …

Graph-based text representation is one of the important preprocessing steps in data and text
mining, Natural Language Processing (NLP), and information retrieval approaches. The …

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 …

In this paper, we study the problem of subgraph matching that extracts all subgraph
isomorphic embeddings of a query graph q in a large data graph G. The existing algorithms …

Given a query graph q and a data graph g, the subgraph isomorphism search finds all
occurrences of q in g and is considered one of the most fundamental query types for many …

The explosion in the amount of the available RDF data has lead to the need to explore,
query and understand such data sources. Due to the complex structure of RDF graphs and …

Finding subgraph isomorphisms is an important problem in many applications which deal
with data modeled as graphs. While this problem is NP-hard, in recent years, many …

The dramatic proliferation of sophisticated networks has resulted in a growing need for
supporting effective querying and mining methods over such large-scale graph-structured …

Graph data have become ubiquitous and manipulating them based on similarity is essential
for many applications. Graph edit distance is one of the most widely accepted measures to …

With the prevalence of graph data in a variety of domains, there is an increasing need for a
language to query and manipulate graphs with heterogeneous attributes and structures. We …