Querying graph databases has emerged as an important research problem for real-world
applications that center on large graph data. Given the syntactic complexity of graph query …

Visual graph query interfaces (VQI) widen the reach of graph querying frameworks across a
variety of end users by enabling non-programmers to use them. Several industrial and …

Visual query interfaces make it easy for scientists and other nonexpert users to query a data
collection. Heretofore, visual query interfaces have been statically-constructed, independent …

Graph summarization is beneficial in a wide range of applications, such as visualization,
interactive and exploratory analysis, approximate query processing, reducing the on-disk …

Large-scale, highly-interconnected networks pervade our society and the natural world
around us, including the World Wide Web, social networks, knowledge graphs, genome and …

Canned patterns (ie small subgraph patterns) in visual graph query interfaces (aka GUI)
facilitate efficient query formulation by enabling pattern-at-a-time construction mode …

Visual graph query interfaces (aka gui) widen the reach of graph querying frameworks
across different users by enabling non-programmers to use them. Consequently, several …

Visual graph query interfaces (VQI) facilitate non-programmers to query graph data
effortlessly. The construction of these interfaces for large networks is typically not data …

Several commercial and academic frameworks for querying a large collection of small-or
medium-sized data graphs (eg. chemical compounds) provide visual graph query interfaces …

Several visual graph query interfaces (aka gui) expose a set of canned patterns (ie, small
subgraph patterns) to expedite subgraph query formulation by enabling pattern-at-a-time …