Title
BOOMER: A Tool for Blending Visual P-Homomorphic Queries on Large Networks
Abstract
The paradigm of interleaving (i.e. blending) visual subgraph query formulation and processing by exploiting the latency offered by the GUI brings in several potential benefits such as superior system response time (SRT) and opportunities to enhance usability of graph databases. Recent efforts at implementing this paradigm are focused on subgraph isomorphism-based queries, which are often restrictive in many real-world graph applications. In this demonstration, we present a novel system called BOOMER to realize this paradigm on more generic but complex bounded 1-1 p-homomorphic(BPH) queries on large networks. Intuitively, a BPH query maps an edge of the query to bounded paths in the data graph. We demonstrate various innovative features of BOOMER, its flexibility, and its promising performance.
Year
DOI
Venue
2020
10.1145/3318464.3384680
SIGMOD/PODS '20: International Conference on Management of Data Portland OR USA June, 2020
DocType
ISBN
Citations 
Conference
978-1-4503-6735-6
0
PageRank 
References 
Authors
0.34
3
5
Name
Order
Citations
PageRank
Yinglong Song191.47
Huey-Eng Chua2236.55
Sourav S. Bhowmick31519272.35
Byron Choi455445.50
Shuigeng Zhou52089207.00