Results 1 to 10 of about 2,072,739 (293)
Graph drawing using Jaya [PDF]
Graph drawing, involving the automatic layout of graphs, is vital for clear data visualization and interpretation but poses challenges due to the optimization of a multi-metric objective function, an area where current search-based methods seek ...
Fadi K. Dib, Peter Rodgers
doaj +2 more sources
A New Graph Drawing Scheme for Social Network [PDF]
With the development of social networks, people have started to use social network tools to record their life and work more and more frequently. How to analyze social networks to explore potential characteristics and trend of social events has been a hot
Eric Ke Wang, Futai Zou
doaj +2 more sources
Graph drawing using tabu search coupled with path relinking. [PDF]
Graph drawing, or the automatic layout of graphs, is a challenging problem. There are several search based methods for graph drawing which are based on optimizing an objective function which is formed from a weighted sum of multiple criteria.
Fadi K Dib, Peter Rodgers
doaj +2 more sources
Graph learning based suicidal ideation detection via tree-drawing test [PDF]
IntroductionAdolescent suicide is a critical public health concern worldwide, necessitating effective methods for early detection of high suicidal ideation.
Ye Liu +5 more
doaj +2 more sources
GPU-Based Parallel Particle Swarm Optimization Methods for Graph Drawing
Particle Swarm Optimization (PSO) is a population-based stochastic search technique for solving optimization problems, which has been proven to be effective in a wide range of applications. However, the computational efficiency on large-scale problems is
Jianhua Qu +3 more
doaj +2 more sources
Ask and You Shall Receive (a Graph Drawing): Testing ChatGPT's Potential to Apply Graph Layout Algorithms [PDF]
Large language models (LLMs) have recently taken the world by storm. They can generate coherent text, hold meaningful conversations, and be taught concepts and basic sets of instructions - such as the steps of an algorithm.
Sara Di Bartolomeo +3 more
semanticscholar +1 more source
SmartGD: A GAN-Based Graph Drawing Framework for Diverse Aesthetic Goals [PDF]
While a multitude of studies have been conducted on graph drawing, many existing methods only focus on optimizing a single aesthetic aspect of graph layouts, which can lead to sub-optimal results.
Xiaoqi Wang +3 more
semanticscholar +1 more source
Multicriteria Scalable Graph Drawing via Stochastic Gradient Descent,
Readability criteria, such as distance or neighborhood preservation, are often used to optimize node-link representations of graphs to enable the comprehension of the underlying data.
Reyan Ahmed +4 more
semanticscholar +1 more source
DeepGD: A Deep Learning Framework for Graph Drawing Using GNN [PDF]
In the past decades, many graph drawing techniques have been proposed for generating aesthetically pleasing graph layouts. However, it remains a challenging task since different layout methods tend to highlight different characteristics of the graphs ...
Xiaoqi Wang +3 more
semanticscholar +1 more source
Graph drawing addresses the problem of constructing geometric representations of graphs, and has important applications to key computer technologies such as software engineering, database systems, visual interfaces, and computer-aided-design. Research on graph drawing has been conducted within several diverse areas, including discrete mathematics ...
LIOTTA, Giuseppe, Tamassia R.
+6 more sources

