Thematische Bibliographien / Behavioral graph

Inhaltsverzeichnis

  1. Zeitschriftenartikel
  2. Dissertationen
  3. Bücher
  4. Buchteile
  5. Konferenzberichte
  6. Berichte der Organisationen

Auswahl der wissenschaftlichen Literatur zum Thema „Behavioral graph“

Autor: Grafiati
Veröffentlicht am 28. Juni 2021
Zuletzt aktualisiert am 29. Juli 2025

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Zeitschriftenartikel zum Thema "Behavioral graph"

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RAFE, VAHID, and ADEL T. RAHMANI. "A NOVEL APPROACH TO VERIFY GRAPH SCHEMA-BASED SOFTWARE SYSTEMS." International Journal of Software Engineering and Knowledge Engineering 19, no. 06 (2009): 857–70. http://dx.doi.org/10.1142/s0218194009004398.

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Graph Grammars have recently become more and more popular as a general formal modeling language. Behavioral modeling of dynamic systems and model to model transformations are a few well-known examples in which graphs have proven their usefulness in software engineering. A special type of graph transformation systems is layered graphs. Layered graphs are a suitable formalism for modeling hierarchical systems. However, most of the research so far concentrated on graph transformation systems as a modeling means, without considering the need for suitable analysis tools. In this paper we concentrat
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Ye, Lin, Xiaohui Chen, Haiyan Liu, et al. "Vessel Type Recognition Using a Multi-Graph Fusion Method Integrating Vessel Trajectory Sequence and Dependency Relations." Journal of Marine Science and Engineering 12, no. 12 (2024): 2315. https://doi.org/10.3390/jmse12122315.

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In the field of research into vessel type recognition utilizing trajectory data, researchers have primarily concentrated on developing models based on trajectory sequences to extract the relevant information. However, this approach often overlooks the crucial significance of the spatial dependency relationships among trajectory points, posing challenges for comprehensively capturing the intricate features of vessel travel patterns. To address this limitation, our study introduces a novel multi-graph fusion representation method that integrates both trajectory sequences and dependency relations
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DU, XUEHONG, JIANXIN JIAO, and MITCHELL M. TSENG. "Product family modeling and design support: An approach based on graph rewriting systems." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 16, no. 2 (2002): 103–20. http://dx.doi.org/10.1017/s0890060402020097.

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Earlier research on product family design (PFD) often highlights isolated and successful empirical studies with a limited attempt to explore the modeling and design support issues surrounding this economically important class of engineering design problems. This paper proposes a graph rewriting system to organize product family data according to the underpinning logic and to model product derivation mechanisms for PFD. It represents the structural and behavioral aspects of product families as family graphs and related graph operations, respectively. The derivation of product variants becomes a
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Wang, Yan, Zhixuan Chu, Xin Ouyang, et al. "LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 17 (2024): 19189–96. http://dx.doi.org/10.1609/aaai.v38i17.29887.

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Recommendation systems aim to provide users with relevant suggestions, but often lack interpretability and fail to capture higher-level semantic relationships between user behaviors and profiles. In this paper, we propose a novel approach that leverages large language models (LLMs) to construct personalized reasoning graphs. These graphs link a user's profile and behavioral sequences through causal and logical inferences, representing the user's interests in an interpretable way. Our approach, LLM reasoning graphs (LLMRG), has four components: chained graph reasoning, divergent extension, self
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Paul, August Winter, Mbonga Mayala Roger, and Namayanja Proscovia. "The Eigen-chromatic Ratio of Classes of Graphs: Asymptotes, Areas and Molecular Stability." Journal of Progressive Research in Mathematics 12, no. 2 (2017): 1834–52. https://doi.org/10.5281/zenodo.3975878.

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two graph theoretical concepts of energy and chromatic number. The energy of a graph, the sum of the absolute values of the eigenvalues of the adjacency matrix of a graph, arose historically as a result of the energy of the benzene ring being identical to that of the sum of the absolute values of the eigenvalues of the adjacency matrix of the cycle graph on n vertices (see [18]). The chromatic number of a graph is the smallest number of colour classes that we can partition the vertices of a graph such that each edge of the graph has ends that do not belong to the same colour class, and applica
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Wang, Yingxu, and Aderemi Adewumi. "The Formal Design Models of Digraph Architectures and Behaviors." International Journal of Software Science and Computational Intelligence 4, no. 1 (2012): 100–129. http://dx.doi.org/10.4018/jssci.2012010105.

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Graphs are one of the most fundamental and widely used non-linear hierarchical structures of linked nodes. Problems in sciences and engineering can be formulated and solved by the graph model. This paper develops a comprehensive design pattern of formal digraphs using the Doubly-Linked List (DLL) architecture. The most complicated form of graphs known as the weighted digraph is selected as a general graph model, based on it simple graphs such as nondirected and/or nonweighted ones can be easily derived and tailored. A rigorous denotational mathematics, Real-Time Process Algebra (RTPA), is adop
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Heckel, Reiko, and Sebastian Thöne. "Behavioral Refinement of Graph Transformation-Based Models." Electronic Notes in Theoretical Computer Science 127, no. 3 (2005): 101–11. http://dx.doi.org/10.1016/j.entcs.2004.08.037.

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Ma, Xulin, Jiajia Tan, Linan Zhu, Xiaoran Yan, and Xiangjie Kong. "GSRec: A Graph-Sequence Recommendation System Based on Reverse-Order Graph and User Embedding." Mathematics 12, no. 1 (2024): 164. http://dx.doi.org/10.3390/math12010164.

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At present, sequence-based models have various applications in recommendation systems; these models recommend the interested items of the user according to the user’s behavioral sequence. However, sequence-based models have a limitation of length. When the length of the user’s behavioral sequence exceeds the limitation of the model, the model cannot take advantage of the complete behavioral sequence of the user and cannot know the user’s holistic interests. The accuracy of the model then goes down. Meanwhile, sequence-based models only pay attention to the sequential signals of the data but do
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Garnier, Elodie M., Nastasia Fouret, and Médéric Descoins. "ViSiElse: an innovative R-package to visualize raw behavioral data over time." PeerJ 8 (February 3, 2020): e8341. http://dx.doi.org/10.7717/peerj.8341.

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The scientific community encourages the use of raw data graphs to improve the reliability and transparency of the results presented in articles. However, the current methods used to visualize raw data are limited to one or two numerical variables per graph and/or small sample sizes. In the behavioral sciences, numerous variables must be plotted together in order to gain insight into the behavior in question. In this article, we present ViSiElse, an R-package offering a new approach in the visualization of raw data. ViSiElse was developed with the open-source software R to visualize behavioral
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Xiao, Fei, Yi Sun, Donggao Du, Xuelei Li, and Min Luo. "A Novel Malware Classification Method Based on Crucial Behavior." Mathematical Problems in Engineering 2020 (March 21, 2020): 1–12. http://dx.doi.org/10.1155/2020/6804290.

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Recently, some graph-based methods have been proposed for malware detection. However, current malware is generally characterized by sophisticated behaviors, which makes graph-based malware detection extremely challenging. To address this issue, we propose a graph repartition algorithm by transforming API call graphs into fragment behaviors based on programs’ dynamic execution traces. The proposed algorithm relies on the N-order subgraph (NSG) for constructing the appropriate fragment behavior. Moreover, we improve the term frequency-inverse document frequency- (TF-IDF-) like measure and inform
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Dissertationen zum Thema "Behavioral graph"

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Torbey, Elie. "Control/data flow graph synthesis using evolutionary computation and behavioral estimation." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp02/NQ37080.pdf.

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Torbey, Elie Carleton University Dissertation Engineering Electronics. "Control/data flow graph synthesis using evolutionary computation and behavioral estimation." Ottawa, 1999.

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Bodily, Ty Alvin. "A Graph Theoretical Analysis of Functional Brain Networks Related to Memory and Healthy Aging." BYU ScholarsArchive, 2018. https://scholarsarchive.byu.edu/etd/7567.

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The cognitive decline associated with healthy aging begins in early adulthood and is important to understand as a precursor of and relative to mild cognitive impairment and Alzheimer disease. Anatomical atrophy, functional compensation, and network reorganization have been observed in populations of older adults. In the current study, we examine functional network correlates of memory performance on the Wechsler Memory Scale IV and the Mnemonic Discrimination Task (MST). We report a lack of association between global graph theory metrics and age or memory performance. In addition, we observed
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SABA, VALENTINA. "Graph theory applied to neuroimaging data reveals key functional connectivity alterations in brain of behavioral variant Frontotemporal Dementia subjects." Doctoral thesis, Università degli studi di Pavia, 2020. http://hdl.handle.net/11571/1329172.

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Brain functional architecture and anatomical structure have been intensively studied to generate efficient models of its complex mechanisms. Functional alterations and cognitive impairments are the most investigated aspects in the recent clinical research as distinctive traits of neurodegeneration. Although specific behaviours are clearly associated to neurodegeneration, information flow breakdown within the brain functional network, responsible to deeply affect cognitive skills, remains not completely understood. Behavioural variant Frontotemporal Dementia (bvFTD) is the most common type of F
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Mahamadi, Abdelrhman. "Bond Graph Models for Human Behavior." University of Akron / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=akron1479485016074583.

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Janssen, Alisha L. "Physical Activity and Working Memory in Multiple Sclerosis: An Investigation of Neuropsychological and NeuroImaging Associations." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu149788064943423.

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Fleig, John David. "Citationally Enhanced Semantic Literature Based Discovery." Diss., NSUWorks, 2019. https://nsuworks.nova.edu/gscis_etd/1082.

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We are living within the age of information. The ever increasing flow of data and publications poses a monumental bottleneck to scientific progress as despite the amazing abilities of the human mind, it is woefully inadequate in processing such a vast quantity of multidimensional information. The small bits of flotsam and jetsam that we leverage belies the amount of useful information beneath the surface. It is imperative that automated tools exist to better search, retrieve, and summarize this content. Combinations of document indexing and search engines can quickly find you a document whose
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MacKelvie, Erin. "A Comparison of Traditional Aggregated Data to a Comprehensive Second-by-Second Data Depiction in Functional Analysis Graphs." Scholarly Commons, 2021. https://scholarlycommons.pacific.edu/uop_etds/3730.

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Functional analyses (FAs) are an important component of treatment and the data gathered from FAs are often graphed in an aggregate or summary format, such as mean rate per session. Given the prevalence of undifferentiated analyses, it may be that this common method of data depiction is incomplete. In this paper, we compare the traditional aggregate method to a comprehensive second-by-second demonstration of the data including all appropriate and inappropriate responses emitted, as well as programmed and accidental antecedent and consequent variables, which may help further clarify the results
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Heyman, Susanna. "Visualizing Financial Futures." Doctoral thesis, KTH, Medieteknik och interaktionsdesign, MID, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-211657.

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Research on financial decision aids, systems designed to help people make financial decisions, is sparse. Previous research has often focused on the theoretical soundness of the advice that the systems provide.The original contribution of this doctoral thesis is a set of empirical studies of how non-expert people understand the advice provided by financial decision aids. Since every piece of advice must be interpreted by a receiver, the accuracy of the advice can be corrupted along the way if the receiver does not understand complicated terminology, probabilistic reasoning, or abstract concept
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Varga, Adam. "Identifikace a charakterizace škodlivého chování v grafech chování." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442388.

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Za posledné roky je zaznamenaný nárast prác zahrňujúcich komplexnú detekciu malvéru. Pre potreby zachytenia správania je často vhodné pouziť formát grafov. To je prípad antivírusového programu Avast, ktorého behaviorálny štít deteguje škodlivé správanie a ukladá ich vo forme grafov. Keďže sa jedná o proprietárne riešenie a Avast antivirus pracuje s vlastnou sadou charakterizovaného správania bolo nutné navrhnúť vlastnú metódu detekcie, ktorá bude postavená nad týmito grafmi správania. Táto práca analyzuje grafy správania škodlivého softvéru zachytené behavioralnym štítom antivírusového program
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Bücher zum Thema "Behavioral graph"

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Bonato, Anthony. The game of cops and robbers on graphs. American Mathematical Society, 2011.

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Ishiwata, Satoshi. Geometric and analytic properties in the behavior of random walks on nilpotent covering graphs. Tohoku University, 2004.

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Gothwal, Lalit. Functions: Their Graphs and Behavior in Mathematical Way. Independently Published, 2019.

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cool, Ezra G. is. Behavior Analyst Gift: Cute and Funny 6x9 100 Pages Dot Graph Notebook, Floral Design. Independently Published, 2021.

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cool, Ezra G. is. Behavior Specialist Gift: Cute and Funny 6x9 100 Pages Dot Graph Notebook, Floral Design. Independently Published, 2021.

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White, Robert E. Soils for Fine Wines. Oxford University Press, 2003. http://dx.doi.org/10.1093/oso/9780195141023.001.0001.

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In recent years, viticulture has seen phenomenal growth, particularly in such countries as Australia, New Zealand, the United States, Chile, and South Africa. The surge in production of quality wines in these countries has been built largely on the practice of good enology and investment in high technology in the winery, enabling vintners to produce consistently good, even fine wines. Yet less attention has been paid to the influence of vineyard conditions on wines and their distinctiveness-an influence that is embodied in the French concept of terroir. An essential component of terroir is soi
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Gifford, Maria L. Alcoholism. ABC-CLIO, LLC, 2009. http://dx.doi.org/10.5040/9798400609107.

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An intriguing look at the history of alcoholism and its dramatic effects, from the first fermented grape to current advances in genetic research. Alcoholism tells the story of a disease familiar to many yet not well understood. It is the first "biography" of alcohol abuse that gauges its devastating effects on the body, the family, the economy, and the community. Alcoholism provides the latest understanding of the disease as a behavioral dysfunction and a biological condition. Coverage includes the origins of alcohol and the discovery of alcoholism as a medical disease; the biology of alcoholi
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Best Behavior Analyst of the Time: Graph Paper, 100 Pages, 6 X 9, to Write in, Gift for Co-Workers, Colleagues, Boss, Friends or Family Gift Vintage. Independently Published, 2020.

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Trinkaus, Erik, Alexandra P. Buzhilova, Maria B. Mednikova, and Maria V. Dobrovolskaya. The People of Sunghir. Oxford University Press, 2014. http://dx.doi.org/10.1093/oso/9780199381050.001.0001.

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In this latest volume in the Human Evolution Series, Erik Trinkaus and his co-authors synthesize the research and findings concerning the human remains found at the Sunghir archaeological site. It has long been apparent to those in the field of paleoanthropology that the human fossil remains from the site of Sunghir are an important part of the human paleoanthropological record, and that these fossil remains have the potential to provide substantial data and inferences concerning human biology and behavior, both during the earlier Upper Paleolithic and concerning the early phases of human occu
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O'Connor, David E., and Christophe Faille. Basic Economic Principles. Greenwood, 2000. http://dx.doi.org/10.5040/9798400616600.

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This user-friendly guide explains economic concepts and principles in a lively, informative way. Clear and easy-to-understand definitions and explanations, with examples that relate to issues and problems relevant to teenagers, will help students gain a better understanding of economics. In 15 chapters, the guide covers all the basic information students need to understand the basic concepts and principles of economics, including: definition of economics in historical context; how various economics systems work; how prices are set in the U.S. economy; consumer behavior; factors of production;
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Buchteile zum Thema "Behavioral graph"

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Harel, David. "Can Behavioral Requirements Be Executed? (And Why Would We Want to Do So?)." In Graph Transformation. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45832-8_2.

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Gosti, Giorgio, and William H. Batchelder. "Naming on a Directed Graph." In Social Computing, Behavioral-Cultural Modeling and Prediction. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19656-0_49.

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Dineen, Jacob, A. S. M. Ahsan-Ul Haque, and Matthew Bielskas. "Reinforcement Learning for Data Poisoning on Graph Neural Networks." In Social, Cultural, and Behavioral Modeling. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-80387-2_14.

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Maximova, Maria, Sven Schneider, and Holger Giese. "Compositional Analysis of Probabilistic Timed Graph Transformation Systems." In Fundamental Approaches to Software Engineering. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71500-7_10.

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AbstractThe analysis of behavioral models is of high importance for cyber-physical systems, as the systems often encompass complex behavior based on e.g. concurrent components with mutual exclusion or probabilistic failures on demand. The rule-based formalism of probabilistic timed graph transformation systems is a suitable choice when the models representing states of the system can be understood as graphs and timed and probabilistic behavior is important. However, model checking PTGTSs is limited to systems with rather small state spaces.We present an approach for the analysis of large-scale
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Mankowski, Walter C., Peter Bogunovich, Ali Shokoufandeh, and Dario D. Salvucci. "On Computing Canonical Subsets of Graph-Based Behavioral Representations." In Graph-Based Representations in Pattern Recognition. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02124-4_22.

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Marburger, André, and Bernhard Westfechtel. "Behavioral Analysis of Telecommunication Systems by Graph Transformations." In Applications of Graph Transformations with Industrial Relevance. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-25959-6_15.

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Ogaard, Kirk, Heather Roy, Sue Kase, Rakesh Nagi, Kedar Sambhoos, and Moises Sudit. "Discovering Patterns in Social Networks with Graph Matching Algorithms." In Social Computing, Behavioral-Cultural Modeling and Prediction. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37210-0_37.

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Bui, Ngot, and Vasant Honavar. "Labeling Actors in Social Networks Using a Heterogeneous Graph Kernel." In Social Computing, Behavioral-Cultural Modeling and Prediction. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05579-4_4.

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Said, Yasmin H., and Edward J. Wegman. "Estimating Cyclic and Geospatial Effects of Alcohol Usage in a Social Network Directed Graph Model." In Social Computing and Behavioral Modeling. Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-0056-2_22.

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Alassad, Mustafa, Muhammad Nihal Hussain, and Nitin Agarwal. "Developing Graph Theoretic Techniques to Identify Amplification and Coordination Activities of Influential Sets of Users." In Social, Cultural, and Behavioral Modeling. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-61255-9_19.

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Konferenzberichte zum Thema "Behavioral graph"

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Lee, Seon Woo, Ju Young Lee, and Tae Jin Lee. "Graph Neural Networks for Network Intrusion Detection: An IP Behavioral Analysis Perspective." In 2024 Silicon Valley Cybersecurity Conference (SVCC). IEEE, 2024. http://dx.doi.org/10.1109/svcc61185.2024.10637371.

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Kotaru, Chakravarthy, Pamula Udayaraju, Dilip Kolasani, Raghavendra Sayana, Sudharshan Tumkunta, and Venkata Gummadi. "Behavioral Pattern Analysis Framework with Markov Chains and Graph Neural Networks for Scalable Customer Behavior Prediction in Travel Reservations." In 2025 International Conference on Machine Learning and Autonomous Systems (ICMLAS). IEEE, 2025. https://doi.org/10.1109/icmlas64557.2025.10968512.

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Akiladevi, G., and M. Arun Murugesan. "Behavioral Analysis and Sub-Topic Detection in COVID-19 Data Using Path-Aware Graph Neural Networks." In 2024 First International Conference on Innovations in Communications, Electrical and Computer Engineering (ICICEC). IEEE, 2024. https://doi.org/10.1109/icicec62498.2024.10808952.

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Priya, S. Baghavathi, Sangeetha K, Velayutham P, Balaji VS, and Shrinithi S. "Integrating Behavioral Analytics and AI for Enhanced Academic Performance Prediction Using Graph Convolution Networks and Deep Learning Techniques." In 2025 International Conference on Advanced Computing Technologies (ICoACT). IEEE, 2025. https://doi.org/10.1109/icoact63339.2025.11005348.

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Yu, Jiaqi, Hong Yang, Zhou Chuan, Peng Zhang, and Zhihong Tian. "Federated Spectral Graph Neural Networks." In 2024 11th International Conference on Behavioural and Social Computing (BESC). IEEE, 2024. https://doi.org/10.1109/besc64747.2024.10780468.

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Xing, Chen, and Masoud Makrehchi. "Line Graph is the Key: An Exploration of Line Graph on Link Prediction with Social Networks." In 2024 11th International Conference on Behavioural and Social Computing (BESC). IEEE, 2024. https://doi.org/10.1109/besc64747.2024.10780611.

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Zhang, Haitao, Yibo Wang, and Qilong Han. "USTG:Multivariate Time Series Anomaly Detection via Unsupervised Spatial-Temporal Graph Learning." In 2024 11th International Conference on Behavioural and Social Computing (BESC). IEEE, 2024. https://doi.org/10.1109/besc64747.2024.10780512.

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Shen, Chen, Haizhou Du, and Pengfei Li. "Causal Inference KGC: A Multi-Hop Reasoning Framework Over Sparse Knowledge Graph." In 2024 11th International Conference on Behavioural and Social Computing (BESC). IEEE, 2024. https://doi.org/10.1109/besc64747.2024.10780638.

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Zhang, Hui, QiLong Han, Hui Sun, and Chao Liu. "Multi-Modal Knowledge Graph Representation Based on Counterfactual Data Enhanced Learning Link Prediction*." In 2024 11th International Conference on Behavioural and Social Computing (BESC). IEEE, 2024. https://doi.org/10.1109/besc64747.2024.10780531.

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Li, Fuan, Muyang Tian, and Yiping Wen. "MOOC Concept Extraction from Chinese Texts: A Rule and Graph Propagation Based Method." In 2024 11th International Conference on Behavioural and Social Computing (BESC). IEEE, 2024. https://doi.org/10.1109/besc64747.2024.10780751.

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Berichte der Organisationen zum Thema "Behavioral graph"

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Ramakrishnan, Aravind, Fangyu Liu, Angeli Jayme, and Imad Al-Qadi. Prediction of Pavement Damage under Truck Platoons Utilizing a Combined Finite Element and Artificial Intelligence Model. Illinois Center for Transportation, 2024. https://doi.org/10.36501/0197-9191/24-030.

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For robust pavement design, accurate damage computation is essential, especially for loading scenarios such as truck platoons. Studies have developed a framework to compute pavement distresses as function of lateral position, spacing, and market-penetration level of truck platoons. The established framework uses a robust 3D pavement model, along with the AASHTOWare Mechanistic–Empirical Pavement Design Guidelines (MEPDG) transfer functions to compute pavement distresses. However, transfer functions include high variability and lack physical significance. Therefore, as an improvement to effecti
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Fait, Aaron, Grant Cramer, and Avichai Perl. Towards improved grape nutrition and defense: The regulation of stilbene metabolism under drought. United States Department of Agriculture, 2014. http://dx.doi.org/10.32747/2014.7594398.bard.

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The goals of the present research proposal were to elucidate the physiological and molecular basis of the regulation of stilbene metabolism in grape, against the background of (i) grape metabolic network behavior in response to drought and of (ii) varietal diversity. The specific objectives included the study of the physiology of the response of different grape cultivars to continuous WD; the characterization of the differences and commonalities of gene network topology associated with WD in berry skin across varieties; the study of the metabolic response of developing berries to continuous WD
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Соловйов, В. М., та В. В. Соловйова. Моделювання мультиплексних мереж. Видавець Ткачук О.В., 2016. http://dx.doi.org/10.31812/0564/1253.

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From the standpoint of interdisciplinary self-organization theories and synergetics analyzes current approaches to modeling socio-economic systems. It is shown that the complex network paradigm is the foundation on which to build predictive models of complex systems. We consider two algorithms to transform time series or a set of time series to the network: recurrent and graph visibility. For the received network designed dynamic spectral, topological and multiplex measures of complexity. For example, the daily values the stock indices show that most of the complexity measures behaving in a ch
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Oron, Gideon, Raphi Mandelbaum, Carlos E. Enriquez, et al. Optimization of Secondary Wastewater Reuse to Minimize Environmental Risks. United States Department of Agriculture, 1999. http://dx.doi.org/10.32747/1999.7573077.bard.

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The main purpose of the research was to examine approaches and to evaluate methods for minimizing the risks during applying treated domestic wastewater for agricultural irrigation. This general purpose consisted of examining under field conditions the possibilities when implementing different application technologies for minimizing health and environmental risks. It was assumed that Subsurface Drip Irrigation (SDI) will provide adequate conditions for safe effluent reuse. Controlled field experiments where conducted in commercial fields to evaluate the alternatives. Main efforts where conducte
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Morin, Shai, Gregory Walker, Linda Walling, and Asaph Aharoni. Identifying Arabidopsis thaliana Defense Genes to Phloem-feeding Insects. United States Department of Agriculture, 2013. http://dx.doi.org/10.32747/2013.7699836.bard.

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The whitefly (Bemisia tabaci) is a serious agricultural pest that afflicts a wide variety of ornamental and vegetable crop species. To enable survival on a great diversity of host plants, whiteflies must have the ability to avoid or detoxify numerous different plant defensive chemicals. Such toxins include a group of insect-deterrent molecules called glucosinolates (GSs), which also provide the pungent taste of Brassica vegetables such as radish and cabbage. In our BARD grant, we used the whitefly B. tabaci and Arabidopsis (a Brassica plant model) defense mutants and transgenic lines, to gain
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INVERSION METHOD OF UNCERTAIN PARAMETERS FOR TRUSS STRUCTURES BASED ON GRAPH NEURAL NETWORKS. The Hong Kong Institute of Steel Construction, 2023. http://dx.doi.org/10.18057/ijasc.2023.19.4.5.

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Uncertainty exists widely in practical engineering. It is an important challenge in engineering structural analysis. In truss structures, the uncertainties of axial stiffness of bolted joints will significantly affect the mechanical behavior of the structure as the axial load is dominated by the member internal forces. Structural response analysis based on determined structural parameters is a common forward problem that can be solved by modeling analysis methods. However, the uncertainties parameter of axial stiffness of bolted joint cannot be determined during the design and analysis of trus
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Monetary Policy Report, July 2023. Banco de la República, 2023. http://dx.doi.org/10.32468/inf-pol-mont-eng.tr3-2023.

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In the second quarter of 2023, total annual infation fell to 12.1% and the rise of core infation halted and stood at 10.5%; both measures were lower than those forecasted in the April Report but remained well above the 3.0% target. The aggregate effects of monetary policy actions and the unwinding of certain shocks that affected prices will contribute towards bringing infation closer to the target in 2024. By component, the annual variations in the CPI for food and the CPI excluding food and regulated items have lessened more markedly than anticipated by the Central Bank’s technical staff, und
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Financial Stability Report - First Semester of 2020. Banco de la República de Colombia, 2021. http://dx.doi.org/10.32468/rept-estab-fin.1sem.eng-2020.

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In the face of the multiple shocks currently experienced by the domestic economy (resulting from the drop in oil prices and the appearance of a global pandemic), the Colombian financial system is in a position of sound solvency and adequate liquidity. At the same time, credit quality has been recovering and the exposure of credit institutions to firms with currency mismatches has declined relative to previous episodes of sudden drops in oil prices. These trends are reflected in the recent fading of red and blue tonalities in the performance and credit risk segments of the risk heatmaps in Grap
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Monetary Policy Report - October 2021. Banco de la República, 2021. http://dx.doi.org/10.32468/inf-pol-mont-eng.tr4-2021.

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Macroeconomic summary Economic activity has recovered faster than projected, and output is now expected to return to pre-pandemic levels earlier than anticipated. Economic growth projections for 2021 and 2022 have been revised upward, though significant downward bias remains. (Graph 1.1). Colombia’s economy returned to recovery in the third quarter after significant supply shocks and a third wave of COVID-19 in the second. Negative shocks affecting mobility and output were absent in the third quarter, and some indicators of economic activity suggest that the rate of recovery in demand, primari
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Monetary Policy Report - January 2023. Banco de la República, 2023. http://dx.doi.org/10.32468/inf-pol-mont-eng.tr1-2023.

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1. Macroeconomic Summary In December, headline inflation (13.1%) and the average of the core inflation measures (10.3%) continued to trend upward, posting higher rates than those estimated by the Central Bank's technical staff and surpassing the market average. Inflation expectations for all terms exceeded the 3.0% target. In that month, every major group in the Consumer Price Index (CPI) registered higher-than-estimated increases, and the diffusion indicators continued to show generalized price hikes. Accumulated exchange rate pressures on prices, indexation to high inflation rates, and sever
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