Graph has become increasingly important in modelling complicated structures and
schemaless data such as proteins, chemical compounds, and XML documents. Given a …

Graphs have become increasingly important in modelling complicated structures and
schemaless data such as chemical compounds, proteins, and XML documents. Given a …

Recent scientific and technological advances have witnessed an abundance of structural
patterns modeled as graphs. As a result, it is of special interest to process graph …

Graphs are widely used to model complex structured data such as XML documents, protein
networks, and chemical compounds. One of the fundamental problems in graph databases …

Biomedical and chemical databases are large and rapidly growing in size. Graphs naturally
model such kinds of data. To fully exploit the wealth of information in these graph databases …

Graphs are prevalently used to model the relationships between objects in various domains.
With the increasing usage of graph databases, it has become more and more demanding to …

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 …

Graphs are of growing importance in modeling complex structures such as chemical
compounds, proteins, images, and program dependence. Given a query graph Q, the …

We introduce a novel method of indexing graph databases in order to facilitate subgraph
isomorphism and similarity queries. The index is comprised of two major data structures. The …

Advanced database systems face a great challenge raised by the emergence of massive,
complex structural data in bioinformatics, chem-informatics, and many other applications …