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Access Graph Visualization: A step towards better understanding of static access control
2002
Electronical Notes in Theoretical Computer Science
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doi:10.1016/s1571-0661(05)80522-5
fatcat:t5264kg4pbh5roclaiupp5gism
Access Graphs
2002
Journal of Object Technology
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Examples of practical applications of access graphs are given. This notation is supported by AGATE, a set of tools designed for access control handling. ...
We introduce a notation for static access control that we think is adapted for modeling, characterizing, evaluating, comparing and translating access control. ...
Tenon, who contributed to develop part of the Eiffel tools during their Master's dissertations. ...
doi:10.5381/jot.2002.1.5.a1
fatcat:3yznijqyhvhmjavxnhgloo5raa
Illation of Video Visual Relation Detection Based on Graph Neural Network
2021
IEEE Access
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For Qian's work, the performance of P@5 and P@10 is slightly better, indicating that VRGE-MHF has a better detection effect on video clips with a large number of relational triples. ...
In order to obtain a better effect, the graph convolutional neural network is used in the model to predict the relationship between the target object and the surrounding objects from two directions of ...
doi:10.1109/access.2021.3115260
fatcat:tsyyxj5yk5ebdh2hdmcp46aagq
The State of the Art in Empirical User Evaluation of Graph Visualizations
2020
IEEE Access
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needed to understand evaluation results and findings to inform the future design, research, and application of graph visualizations. ...
Due to the fact that many parameters in a graph dataset as well as the visual representation of them might be varied and many user studies have been conducted in this space, a state-of-the-art survey is ...
FIGURE 4 . 4 A time-varying graph consisting of 6 time steps visually depicted in a node-link visual metaphor. ...
doi:10.1109/access.2020.3047616
fatcat:5mhsfa7dybevdekppn4aeikzwe
Graph Learning Based on Spatiotemporal Smoothness for Time-varying Graph Signal
2019
IEEE Access
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It calls upon the development from static graph signal studies to the joint space-time analysis. In this paper, we study the problem of learning graphs from time-varying graph signals. ...
By promoting such smoothness in each learning steps, the graph learning accuracy can be efficiently improved. ...
This means the existence of a strong correlation in time-varying graph signals which are not just the static graph signals stacked into a sequence. ...
doi:10.1109/access.2019.2916567
fatcat:lmizoot7evgrne2xcd7jzjmbcu
Deep Graph Generators: A Survey
2021
IEEE Access
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, adversarial, and flow-based graph generators, providing the readers a detailed description of the methods in each class. ...
This paper conducts a comprehensive survey on deep learning-based graph generation approaches and classifies them into five broad categories, namely, autoregressive, autoencoder-based, reinforcement learning-based ...
SHADOWCAST [67] proposes another extension to Net-GAN in order to make the generation process controllable, which can be considered as a step towards generating graphs with more explainable properties ...
doi:10.1109/access.2021.3098417
fatcat:6xzg5cs75zhovdbpjkignfr3xu
Recommender systems based on graph embedding techniques: A review
2022
IEEE Access
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Not until after the prevalence of machine learning did graph embedding techniques be a recent concentration, which can efficiently utilize complex and large-scale data. ...
As the focus, this article systematically retrospects graph embedding-based recommendation from embedding techniques for bipartite graphs, general graphs and knowledge graphs, and proposes a general design ...
In practice, the category information on e-commerce platforms, which is organized in a form by tree logic, is also a commonused resource of knowledge, providing a better understanding of user's preferences ...
doi:10.1109/access.2022.3174197
fatcat:s267xaasovh6ffaomi7l32pqyi
Knowledge Graph Completion: A Review
2020
IEEE Access
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Knowledge graph completion (KGC) is a hot topic in knowledge graph construction and related applications, which aims to complete the structure of knowledge graph by predicting the missing entities or relationships ...
Starting from the definition and types of KGC, existing technologies for KGC are analyzed in categories. ...
ACKNOWLEDGMENT This work was supported in part by the Funds for Key Research and Development Plan Project of the Shaanxi Province, China, under Grant 2017GY-072, 2019ZDLGY17-08, 2020ZDLGY09-02. ...
doi:10.1109/access.2020.3030076
fatcat:jbimdngcmrbx3jhihsgrp62cxq
Creating Audio Visualizations
[chapter]
2017
JavaScript for Sound Artists
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Keep Going Our final piece of advice is to simply stick with it . Best of luck! ...
An API is a portion of code that a programmer is given access to, which controls a larger unseen body of code within certain constraints . ...
A web application is any website that contains more than static, non-interactive pages . ...
doi:10.1201/9781315659732-27
fatcat:us3rb5zp5va2jkvwh35hksshda
Communicating Visualizations without Visuals: Investigation of Visualization Alternative Text for People with Visual Impairments
[article]
2021
arXiv
pre-print
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Especially for graphics that contain rich information, such as visualizations, poorly written or an absence of alternative texts can worsen the information access inequality for people with visual impairments ...
Informed by the study, we provide a set of recommendations to compose an informative alternative text. ...
As a next step, we wish to investigate how we could leverage readable elements in an SVG, in addition to alt text, to enhance the understanding of visualizations for people with visual impairments. ...
arXiv:2108.03657v1
fatcat:rx4nz5pjyjecvlmq25sk42xtgy
Visualization Accessibility in the Wild: Challenges Faced by Visualization Designers
2022
CHI Conference on Human Factors in Computing Systems
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In this work, we use three-staged mixed methods to understand the current practice of accessible visualization design for visually impaired people. ...
Data visualizations are now widely used across many disciplines. However, many of them are not easily accessible for visually impaired people. ...
ANALYZING VISUALIZATION ACCESSIBILITY PRACTICES IN THE WILD As a first step to understanding the challenges of visualization accessibility, we aim to inspect the current state of accessibility practices ...
doi:10.1145/3491102.3517630
fatcat:wlxtbb5bqvalnidywzcskdcd3q
Graph Neural Network: A Comprehensive Review on Non-Euclidean Space
2021
IEEE Access
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Graph networks provide a generalized form to exploit non-euclidean space data. A graph can be visualized as an aggregation of nodes and edges without having any order. ...
This review provides a comprehensive overview of the state-of-the-art methods of graphbased networks from a deep learning perspective. ...
For example, the Graph Inception model uses this meta path information propagation system for a better understanding of graph structure data [11] . ...
doi:10.1109/access.2021.3071274
fatcat:yufufsrgqvgyzhxljgkmejuyhe
Interactive Visual Analytics for Efficient Maintenance of Model Transformations
[chapter]
2013
Lecture Notes in Computer Science
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Data and control dependencies are statically analyzed and displayed in an interactive graph-based view with cross-view navigation and task-oriented filter criteria. ...
We propose an interactive visual analytics process for understanding model transformations for maintenance. ...
Dependency Graph Model An important step in the visualization process is to analyze rule-based model transformations for control units, data units, and interdependencies. ...
doi:10.1007/978-3-642-38883-5_14
fatcat:wbygquzfrjh3nlbrza5svvsehi
Algorithm Visualization
2010
ACM Transactions on Computing Education
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We present findings regarding the state of the field of Algorithm Visualization (AV) based on our analysis of a collection of over 500 AVs. ...
There does exist a cadre of good AVs and active developers. Unfortunately, we found that many AVs are of low quality, and coverage is skewed toward a few easier topics. ...
ACKNOWLEDGMENT We thank an anonymous associate editor for suggestions on how to create a more rigorous framework for evaluating our ratings process. ...
doi:10.1145/1821996.1821997
fatcat:iwrbslv3k5bgdad7ujqhdt7fya
Visual Analytics in Software Maintenance: Challenges and Opportunities
[article]
2010
Eurographics Conference on Visualization
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In this paper, we discuss the specific challenges and particularities of applying VA in software engineering, highlight the added value of a VA approach, as distilled by us from several large-scale software ...
Visual analytics (VA) is an emerging science at the crossroads of data and information visualization, graphics, data mining, and knowledge representation, with many successful applications in engineering ...
We first hypothesized that a header's build impact equals the number of sources which use it directly or indirectly, and computed this impact using a file dependency graph extracted with static analysis ...
doi:10.2312/pe/eurovast/eurovast10/075-080
dblp:conf/vissym/TeleaEV10
fatcat:ioikovga4vcsph3xuydeyygem4
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