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Computer Science, Artificial Intelligence
Matteo Tiezzi, Gabriele Ciravegna, Marco Gori
Summary: This article proposes a novel framework for the development of Graph Neural Drawers (GNDs), which rely on neural computation to construct efficient and complex maps. The learning process of GND can be driven by differentiable loss functions, allowing for aesthetically pleasing graph drawing. Additionally, positional features are introduced to handle unlabeled vertices.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Illia M. Diahovchenko, Gowtham Kandaperumal, Anurag K. Srivastava, Zoia I. Maslova, Serhii M. Lebedka
Summary: Power system planning engineers aim to create a reliable and efficient grid while avoiding costly investments. The new requirement for system resiliency is to keep serving critical loads even under adverse events. Integration of distributed energy resources provides opportunities and challenges.
ELECTRIC POWER SYSTEMS RESEARCH
(2021)
Article
Environmental Sciences
Simon Tarabon, Thierry Dutoit, Francis Isselin-Nondedeu
Summary: By optimizing offset locations and consolidating biodiversity offsetting, additional ecological gains in habitat connectivity can be achieved.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Neurosciences
Jing Wei, Bin Wang, Yanli Yang, Yan Niu, Lan Yang, Yuxiang Guo, Jie Xiang
Summary: This study investigates the effects of lesions placed in different regions of the cerebral cortex on the temporal balance of integration and segregation in the brain. The results suggest that lesions in certain nodes can significantly compromise this balance and impair cognition. Additionally, lesions in different regions can be predicted based on specific graph measures and structural brain networks.
Review
Mathematics, Applied
Pinki Pinki, Krishnendra Shekhawat
Summary: Drawing is the process of creating geometric representations to visualize relational information. A good drawing helps readers understand the system, while a poor drawing can be confusing. This paper reviews existing studies on graph drawing, identifies unsolved problems, and explores its real-life applications.
AKCE INTERNATIONAL JOURNAL OF GRAPHS AND COMBINATORICS
(2023)
Article
Mathematics, Applied
Ming-Hsuan Kang, Jing-Wen Gu
Summary: This study presents a deterministic algorithm for drawing graphs on a torus, based on the usual spectral drawing algorithm. For most well-known toroidal vertex-transitive graphs, the resulting drawings provide an embedding of the graphs onto the torus.
Article
Computer Science, Software Engineering
Reyan Ahmed, Felice De Luca, Sabin Devkota, Stephen Kobourov, Mingwei Li
Summary: This study proposes a layout approach called Multicriteria Scalable Graph Drawing via Stochastic Gradient Descent (SGD)(2) that can handle multiple readability criteria. The approach is flexible and scalable, and can optimize various criteria simultaneously.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2022)
Article
Biochemical Research Methods
Serena Rosignoli, Luisa di Paola, Alessandro Paiardini
Summary: PyPCN is a PyMOL plugin that wraps over twenty PCN algorithms and metrics in an easy-to-use graphical user interface for PCN analysis. The plugin accepts 3D structures from the Protein Data Bank, user-provided PDBs, or precomputed adjacency matrices. The results are directly mapped to 3D protein structures and presented in interactive diagrams for visualization. The combination of a dedicated graphical user interface and PyMOL's visual support makes analysis more intuitive and accessible, expanding the applicability of PCNs.
Article
Computer Science, Information Systems
Manling Li, Yuanzhuo Wang, Denghui Zhang, Yantao Jia, Xueqi Cheng
Summary: This research proposes a hierarchy-constrained link prediction method, called hTransM, which is based on knowledge graph embedding methods. By detecting hierarchical structures, hTransM can adaptively determine the optimal margin and has been proven effective through theoretical analysis and experiments.
IEEE TRANSACTIONS ON BIG DATA
(2022)
Article
Physics, Multidisciplinary
Krzysztof Suchecki, Janusz A. Holyst
Summary: This study explores depth measures for flow hierarchy in directed networks and defines two simple measures. By investigating different types of networks, it reveals the behavioral differences between non-hierarchical and hierarchical networks.
Article
Computer Science, Software Engineering
A. Arleo, S. Miksch, D. Archambault
Summary: This paper introduces MultiDynNoS, a multi-level event-based graph layout algorithm, which can accelerate dynamic graph layout. Through comparison with existing layout techniques and experiments on algorithm extensions, MultiDynNoS demonstrates its competitiveness and contributes to opening new research directions.
COMPUTER GRAPHICS FORUM
(2022)
Article
Food Science & Technology
Alberto Nogales, Marcal Mora-Cantallops, Rodrigo Diaz Moron, Alvaro J. Garcia-Tejedor
Summary: This paper presents a quantitative and structural analysis of data on food issues reported by European Union members over the past forty years. The study utilizes statistical measures and network analysis techniques to examine the distribution of contaminated products across countries. The results highlight the different roles played by various countries in detecting problematic origins, such as China or Turkey, while emphasizing the generally good border control policies of European countries in food import/export.
Article
Computer Science, Information Systems
Dakota J. Thompson, Wester C. H. Schoonenberg, Amro M. Farid
Summary: This paper discusses the need to decarbonize the American Electric Power System with renewable energy resources due to the impact of climate change, requiring profound changes in the electric grid's architecture, and considers the effect of these measures on the system's structural resilience.
Article
Mathematics
Gregory Fridman, Yuri Vasiliev, Vlada Puhkalo, Vladimir Ryzhov
Summary: This paper presents a new formulation and solution for the hierarchical orthogonal hypergraph drawing problem, which minimizes the number of hyperedge crossings by using a mixed-integer program.
Article
Computer Science, Theory & Methods
Cong Wu, Hongxin Li, Jiajia Ren
Summary: This paper proposes a hierarchical clustering method based on posets to address the hierarchical classification issue in traditional evaluation. By converting traditional evaluation into partial evaluation and incorporating evaluators' preferences, the method successfully stratifies the clustering process, offering a coarse particle approach for evaluation grading.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2021)
Article
Computer Science, Software Engineering
Heidi Lam, Melanie Tory, Tamara Munzner
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2018)
Article
Computer Science, Artificial Intelligence
Gaelle Richer, Joris Sansen, Frederic Lalanne, David Auber, Romain Bourqui
Article
Computer Science, Software Engineering
Paolo Simonetto, Daniel Archambault, Stephen Kobourov
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2020)
Article
Computer Science, Software Engineering
Zipeng Liu, Shing Hei Zhan, Tamara Munzner
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2020)
Article
Infectious Diseases
M. Chen, A. Abdul-Rahman, D. Archambault, J. Dykes, P. D. Ritsos, A. Slingsby, T. Torsney-Weir, C. Turkay, B. Bach, R. Borgo, A. Brett, H. Fang, R. Jianu, S. Khan, R. S. Laramee, L. Matthews, P. H. Nguyen, R. Reeve, J. C. Roberts, F. P. Vidal, Q. Wang, J. Wood, K. Xu
Summary: This paper reports the experience of a group of VIS volunteers who have been providing VIS support in a large research and development consortium. The paper also proposes a set of recommendations as the first step towards a methodology for developing and providing rapid VIS capacities to support emergency responses.
Article
Computer Science, Software Engineering
A. Arleo, S. Miksch, D. Archambault
Summary: This paper introduces MultiDynNoS, a multi-level event-based graph layout algorithm, which can accelerate dynamic graph layout. Through comparison with existing layout techniques and experiments on algorithm extensions, MultiDynNoS demonstrates its competitiveness and contributes to opening new research directions.
COMPUTER GRAPHICS FORUM
(2022)
Article
Computer Science, Software Engineering
M. Sondag, C. Turkay, K. Xu, L. Matthews, S. Mohr, D. Archambault
Summary: This paper presents a novel visual analytics approach for inspecting infection maps and their associated metadata, and demonstrates its advantages through case studies and qualitative evaluation.
COMPUTER GRAPHICS FORUM
(2022)
Article
Computer Science, Software Engineering
Anamaria Crisan, Shannah E. Fisher, Jennifer L. Gardy, Tamara Munzner
Summary: Genomic Epidemiology is a branch of public health that uses different data types to identify and contain outbreaks of deadly diseases. This article presents an algorithm for data reconnaissance through automatic visualization recommendation, which analyzes and ranks various datasets and generates visually coherent combinations of charts.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2022)
Article
Computer Science, Software Engineering
B. La Rosa, G. Santucci, R. Giot, D. Auber, G. Santucci, R. Giot, E. Bertini, R. Giot, M. Angelini
Summary: The use and creation of machine-learning-based solutions are becoming increasingly widespread. Deep Learning plays a large part in this growth, but it has drawbacks such as lack of explainability. Visual Analytics provides proposals to cope with these drawbacks, supporting the emerging eXplainable Deep Learning field.
COMPUTER GRAPHICS FORUM
(2023)
Article
Computer Science, Information Systems
Loann Giovannangeli, Romain Bourqui, Romain Giot, David Auber
Summary: This paper extends visual search theories to an information visualization context and investigates the impact of visual attributes encoding complex data on search tasks. The results indicate that both the heterogeneity of encoding and the number of attributes have significant effects on task difficulty.
VISUAL INFORMATICS
(2022)
Proceedings Paper
Computer Science, Software Engineering
Adrien Hainaut, Romain Giot, Romain Bourqui, David Auber
IVAPP: PROCEEDINGS OF THE 15TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS, VOL 3: IVAPP
(2020)
Article
Computer Science, Information Systems
L. Giovannangeli, R. Bourqui, R. Giot, D. Auber
VISUAL INFORMATICS
(2020)
Article
Computer Science, Information Systems
Alexandre Perrot, David Auber
IEEE TRANSACTIONS ON BIG DATA
(2020)
Proceedings Paper
Computer Science, Artificial Intelligence
Gaelle Richer, Romain Bourqui, David Auber
2019 IEEE PACIFIC VISUALIZATION SYMPOSIUM (PACIFICVIS 2019)
(2019)
Article
Biotechnology & Applied Microbiology
Georges Hattab, Veit Wiesmann, Anke Becker, Tamara Munzner, Tim W. Nattkemper
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2018)
