FORBID: Fast Overlap Removal By stochastic gradIent Descent for Graph Drawing

• URL: http://arxiv.org/abs/2208.10334v2
• Date: Mon, 17 Apr 2023 16:02:48 GMT
• Title: FORBID: Fast Overlap Removal By stochastic gradIent Descent for Graph Drawing
• Authors: Loann Giovannangeli, Frederic Lalanne, Romain Giot and Romain Bourqui
• Abstract summary: Overlaps between nodes can hinder graph visualization readability. Overlap Removal (OR) algorithms have been proposed as layout post-processing. We propose a novel gradient models OR as a joint stress and scaling optimization problem.
• Score: 1.1470070927586014
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: While many graph drawing algorithms consider nodes as points, graph visualization tools often represent them as shapes. These shapes support the display of information such as labels or encode various data with size or color. However, they can create overlaps between nodes which hinder the exploration process by hiding parts of the information. It is therefore of utmost importance to remove these overlaps to improve graph visualization readability. If not handled by the layout process, Overlap Removal (OR) algorithms have been proposed as layout post-processing. As graph layouts usually convey information about their topology, it is important that OR algorithms preserve them as much as possible. We propose a novel algorithm that models OR as a joint stress and scaling optimization problem, and leverages efficient stochastic gradient descent. This approach is compared with state-of-the-art algorithms, and several quality metrics demonstrate its efficiency to quickly remove overlaps while retaining the initial layout structures.

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