Results 11 to 20 of about 2,072,739 (293)
Graph Neural Networks for Graph Drawing [PDF]
IEEE Transactions on Neural Networks and Learning Systems, 2021 Graph drawing techniques have been developed in the last few years with the purpose of producing esthetically pleasing node-link layouts. Recently, the employment of differentiable loss functions has paved the road to the massive usage of gradient ...
Matteo Tiezzi +2 more
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Limitations on Realistic Hyperbolic Graph Drawing [PDF]
International Symposium Graph Drawing and Network Visualization, 2021 We show that several types of graph drawing in the hyperbolic plane require features of the drawing to be separated from each other by sub-constant distances, distances so small that they can be accurately approximated by Euclidean distance.
D. Eppstein
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The State of the Art in Empirical User Evaluation of Graph Visualizations
IEEE Access, 2021 While graph drawing focuses more on the aesthetic representation of node-link diagrams, graph visualization takes into account other visual metaphors making them useful for graph exploration tasks in information visualization and visual analytics ...
Michael Burch +5 more
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Event‐based Dynamic Graph Drawing without the Agonizing Pain
Computer graphics forum (Print), 2022 Temporal networks can naturally model real‐world complex phenomena such as contact networks, information dissemination and physical proximity. However, nodes and edges bear real‐time coordinates, making it difficult to organize them into discrete ...
Alessio Arleo, S. Miksch, D. Archambault
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Mathematical Biosciences and Engineering, 2023 The COVID-19 pandemic is one of the most severe infectious diseases in recent decades, and has had a significant impact on the global economy, and the stock market.
Xiao Ren, Jie Hua, Xin Chi, Yao Tan
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An annotated review on graph drawing and its applications
AKCE International Journal of Graphs and Combinatorics, 2023 A drawing concerns the process of generating geometric representations of relational information, usually for visualization purposes. A good drawing provides an understanding of the system to the reader, while a poor drawing may create confusion.
Pinki Pinki, Krishnendra Shekhawat
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Accelerating Force-Directed Graph Drawing with RT Cores [PDF]
Visual .., 2020 Graph drawing with spring embedders employs a V ×V computation phase over the graph’s vertex set to compute repulsive forces. Here, the efficacy of forces diminishes with distance: a vertex can effectively only influence other vertices in a certain ...
Stefan Zellmann, Martin Weier, I. Wald
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Early-Bird GCNs: Graph-Network Co-optimization towards More Efficient GCN Training and Inference via Drawing Early-Bird Lottery Tickets [PDF]
AAAI Conference on Artificial Intelligence, 2021 Graph Convolutional Networks (GCNs) have emerged as the state-of-the-art deep learning model for representation learning on graphs. However, it remains notoriously challenging to train and inference GCNs over large graph datasets, limiting their ...
Haoran You +4 more
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Bend-optimal orthogonal drawings of triconnected plane graphs
AKCE International Journal of Graphs and Combinatorics, 2018 A drawing of a plane graph G in which each edge is represented by a sequence of alternating horizontal and vertical line segments is called an orthogonal drawing.
Siddharth Bhatia, Kunal Lad, Rajiv Kumar
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New Quality Metrics for Dynamic Graph Drawing [PDF]
International Symposium Graph Drawing and Network Visualization, 2020 In this paper, we present new quality metrics for dynamic graph drawings. Namely, we present a new framework for change faithfulness metrics for dynamic graph drawings, which compare the ground truth change in dynamic graphs and the geometric change in ...
Amyra Meidiana, Seok-Hee Hong, P. Eades
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