Title
PLAYPEN: Plug-and-Play Visual Graph Query Interfaces for Top-down and Bottom-Up Search on Large Networks
Abstract
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-driven. That is, they do not exploit the underlying networks to automatically generate the contents of various panels of a VQI. Such data-driven construction has several benefits such as facilitating efficient top-down and bottom-up query formulation and portability of an interface across different application domains and sources. In this demonstration, we present a novel plug-and-play visual subgraph query interface construction engine called PLAYPEN that can be plugged on any large network G with a plug specification b to automatically generate the VQI for G that satisfies b by populating various components of the interface.
Year
DOI
Venue
2022
10.1145/3514221.3520157
PROCEEDINGS OF THE 2022 INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA (SIGMOD '22)
Keywords
DocType
ISSN
Visual query interface, graph search, data-driven, plug-and-play, cognitive load
Conference
0730-8078
Citations 
PageRank 
References 
0
0.34
0
Authors
6
Name
Order
Citations
PageRank
Zifeng Yuan100.34
Huey-Eng Chua2236.55
Sourav S. Bhowmick31519272.35
Zekun Ye401.01
Byron Choi555445.50
Wook-Shin Han680557.85