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Статті в журналах з теми "Stratified graph"

Автор: Grafiati

Опубліковано: 3 червня 2025

Оновлено: 31 липня 2025

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1

Ji, Yuwen, Lei Shi, Zhimeng Liu, and Ge Wang. "Stratified GNN Explanations through Sufficient Expansion." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 11 (2024): 12839–47. http://dx.doi.org/10.1609/aaai.v38i11.29180.

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Explaining the decisions made by Graph Neural Networks (GNNs) is vital for establishing trust and ensuring fairness in critical applications such as medicine and science. The prevalence of hierarchical structure in real-world graphs/networks raises an important question on GNN interpretability: "On each level of the graph structure, which specific fraction imposes the highest influence over the prediction?" Currently, the prevailing two categories of methods are incapable of achieving multi-level GNN explanation due to their flat or motif-centric nature. In this work, we formulate the problem

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2

Guo, Jin, and Tongsuo Wu. "Graph Properties and Stratified Presentations of Partially Ordered Sets." Algebra Colloquium 23, no. 01 (2016): 51–63. http://dx.doi.org/10.1142/s1005386716000079.

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In this paper, we introduce some new definitions such as the U* L* condition to describe the zero-divisor graph G=Γ(P) of a poset P, and give a new and quick proof to a main result in [2, 4]. By deleting a typical vertex with least degree, we provide an algorithm for finding a maximum clique of a finite graph G. We study some properties of the zero-divisor graphs of posets concerning diameters and girths. We also provide stratified presentations of posets.

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3

Dănciulescu, Dana, and Mihaela Colhon. "Splitting the structured paths in stratified graphs. Application in Natural Language Generation." Analele Universitatii "Ovidius" Constanta - Seria Matematica 22, no. 2 (2014): 57–68. http://dx.doi.org/10.2478/auom-2014-0031.

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AbstractThe concept of labeled stratified graph (LSG) introduces some method of knowledge representation. The inference process developed for this structures uses the paths of the stratified graphs, an order between the elementary arcs of a path and some results of universal algebras. The order is defined by considering a structured path instead of a regular path. The application described in this paper interprets the symbolic elements of a LSG with natural language constructions. In this manner we obtained a mechanism for generation coherent texts in a natural language (for this approach, Rom

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4

DANCIULESCU, DANIELA, and MIHAELA COLHON. "Systems of knowledge representation based on stratified graphs. Application in Natural Language Generation." Carpathian Journal of Mathematics 32, no. 1 (2016): 49–62. http://dx.doi.org/10.37193/cjm.2016.01.05.

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The concept of stratified graph introduces some method of knowledge representation (see [T¸ and ˘ areanu, N., ˘ Knowledge representation by labeled stratified graphs, Proc. 8th World Multi-Conference on Systemics, Cybernetics and Informatics, 5 (2004), 345–350; T¸ and ˘ areanu, N., ˘ Proving the Existence of Labelled Stratified Graphs, An. Univ. Craiova Ser. Mat. Inform., 27 (2000), 81–92]) The inference process developed for this method uses the paths of the stratified graphs, an order between the elementary arcs of a path and some results of universal algebras. The order is defined by consid

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5

Daniela, Dănciulescu, Colhon Mihaela, and Grigoraş Gheorghe. "BRAIN Journal - Right-Linear Languages Generated in Systems of Knowledge Representation based on LSG." BRAIN - Broad Research in Artificial Intelligence and Neuroscience 8, no. 1 (2017): 42–51. https://doi.org/10.5281/zenodo.1045027.

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ABSTRACT In Tudor (Preda) (2010) a method for formal languages generation based on labeled stratified graph representations is sketched. The author proves that the considered method can generate regular languages and context-sensitive languages by considering an exemplification of the proposed method for a particular regular language and another one for a particular contextsensitive language. At the end of the study, the author highlights some open problems for future research among which we remind: (1) The study of the language families that can be generated by means of these structures; (2)

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6

Kairatkyzy, Agnur, Lyailya Zhapsarbayeva, Agila Tleulessova, Symbat Kabdrakhova, and Saule Burgumbayeva. "RECONSTRUCTION THE DOMAIN OF DEFINITION OF SOMEDIFFERENTIAL OPERATOR ON A DIRECTED GRAPH." Journal of Mathematics, Mechanics and Computer Science 123, no. 3 (2024): 3–14. http://dx.doi.org/10.26577/jmmcs2024-v123-i3-1.

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In this work it is proposed to study differential operators on a graph as an operator composed of differential operators on one-dimensional arcs and matrix operators on interior vertices of the graph. The work explores some questions concerning the theoretical side of ordinary differential equations with integro-differential conditions on stratified sets like graph. The attention will be paid to reconstruction of the domain of differential operator on directed graph. The reconstruction of the domain of differential operator means a simple specifying the boundary conditions from a known differe

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7

Streib, Amanda, Noah Streib, Isabel Beichl, and Francis Sullivan. "Stratified sampling for the Ising model: A graph-theoretic approach." Computer Physics Communications 191 (June 2015): 1–8. http://dx.doi.org/10.1016/j.cpc.2015.01.005.

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8

COSTANTINI, STEFANIA. "On the existence of stable models of non-stratified logic programs." Theory and Practice of Logic Programming 6, no. 1-2 (2006): 169–212. http://dx.doi.org/10.1017/s1471068405002589.

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In this paper we analyze the relationship between cyclic definitions and consistency in Gelfond-Lifschitz's answer sets semantics (originally defined as ‘stable model semantics’). This paper introduces a fundamental result, which is relevant for Answer Set programming, and planning. For the first time since the definition of the stable model semantics, the class of logic programs for which a stable model exists is given a syntactic characterization. This condition may have a practical importance both for defining new algorithms for checking consistency and computing answer sets, and for improv

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9

Chartrand, Gary, Donald W. Vanderjagt, and Ping Zhang. "Homogeneously embedding stratified graphs in stratified graphs." Mathematica Bohemica 130, no. 1 (2005): 35–48. http://dx.doi.org/10.21136/mb.2005.134221.

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10

Wang, Chenming, and Bo Huang. "The Use of Attentive Knowledge Graph Perceptual Propagation for Improving Recommendations." Applied Sciences 13, no. 8 (2023): 4667. http://dx.doi.org/10.3390/app13084667.

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Collaborative filtering (CF) usually suffers from data sparsity and cold starts. Knowledge graphs (KGs) are widely used to improve recommendation performance. To verify that knowledge graphs can further alleviate the above problems, this paper proposes an end-to-end framework that uses attentive knowledge graph perceptual propagation for recommendations (AKGP). This framework uses a knowledge graph as a source of auxiliary information to extract user–item interaction information and build a sub-knowledge base. The fusion of structural and contextual information is used to construct fine-graine

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11

Shin, Wonseok, Siwoo Song, Kunsoo Park, and Wook-Shin Han. "Cardinality Estimation of Subgraph Matching: A Filtering-Sampling Approach." Proceedings of the VLDB Endowment 17, no. 7 (2024): 1697–709. http://dx.doi.org/10.14778/3654621.3654635.

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Subgraph counting is a fundamental problem in understanding and analyzing graph structured data, yet computationally challenging. This calls for an accurate and efficient algorithm for Subgraph Cardinality Estimation, which is to estimate the number of all isomorphic embeddings of a query graph in a data graph. We present FaST est , a novel algorithm that combines (1) a powerful filtering technique to significantly reduce the sample space, (2) an adaptive tree sampling algorithm for accurate and efficient estimation, and (3) a worst-case optimal stratified graph sampling algorithm for hard ins

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12

Iroriteraye-Adjekpovu, Janice Imizuokena, and Louis Nwabuaku. "A Comparative Study on the Effectiveness of Traditional and Computer-Assisted Instruction Methods in Determining Students’ Achievement on Graph Plotting." European Journal of Contemporary Education and E-Learning 2, no. 1 (2024): 245–52. http://dx.doi.org/10.59324/ejceel.2024.2(1).20.

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The study aimed at examining the effectiveness of traditional and computer-assisted instruction methods in determining students’ achievement on graph plotting in Ethiope East Local Government Area of Delta State, Nigeria. A descriptive survey design was employed and 140 students randomly chosen from the senior secondary schools in the LGA made up the study sample. The chosen students were split into two groups of 70 students each using stratified sampling. The first group served as the experimental group while the second group the control group, were taught graph plotting using computer-assist

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13

Iroriteraye-Adjekpovu, Janice Imizuokena, and Louis Nwabuaku. "A Comparative Study on the Effectiveness of Traditional and Computer-Assisted Instruction Methods in Determining Students' Achievement on Graph Plotting." European Journal of Contemporary Education and E-Learning 2, no. 1 (2024): 245–52. https://doi.org/10.59324/ejceel.2024.2(1).20.

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Анотація:

The study aimed at examining the effectiveness of traditional and computer-assisted instruction methods in determining students’ achievement on graph plotting in Ethiope East Local Government Area of Delta State, Nigeria. A descriptive survey design was employed and 140 students randomly chosen from the senior secondary schools in the LGA made up the study sample. The chosen students were split into two groups of 70 students each using stratified sampling. The first group served as the experimental group while the second group the control group, were taught graph plotting using computer-

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14

Chartrand, Gary, Heather Gavlas, Michael A. Henning, and Reza Rashidi. "Stratidistance in stratified graphs." Mathematica Bohemica 122, no. 4 (1997): 337–47. http://dx.doi.org/10.21136/mb.1997.126213.

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15

Bulusu, Krishna C., Jake Cohen-Setton, Ioannis Kagiampakis, et al. "Abstract 3531: PRESSNET: Patient stratification and biomarker discovery using multi-modal knowledge graph framework." Cancer Research 84, no. 6_Supplement (2024): 3531. http://dx.doi.org/10.1158/1538-7445.am2024-3531.

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Abstract Background: Multiomics data is critical to obtain a near comprehensive picture of disease progression and drug response. In addition, the generation of response and survival biomarkers, and the segmentation of patients into subtypes with distinct, actionable ‘omic signatures and survival trajectories, is vital for personalised medicine research and successful trial design. However, as the volume and diversity of data increases, so too does the challenge of effective multiomic data integration. Knowledge graphs (KGs) can capture heterogeneous data and relationships between entities in

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16

Zikmund-Fisher, Brian J., Angela Fagerlin, and Peter A. Ubel. "A Demonstration of ‘‘Less Can Be More’’ in Risk Graphics." Medical Decision Making 30, no. 6 (2010): 661–71. http://dx.doi.org/10.1177/0272989x10364244.

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Background. Online tools such as Adjuvant! provide tailored estimates of the possible outcomes of adjuvant therapy options available to breast cancer patients. The graphical format typically displays 4 outcomes simultaneously: survival, mortality due to cancer, other-cause mortality, and incremental survival due to adjuvant treatment. Objective. To test whether simpler formats that present only baseline and incremental survival would improve comprehension of the relevant risk statistics and/or affect treatment intentions. Design. Randomized experimental manipulation of risk graphics shown incl

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17

Burger, Jacopo, Giorgio Blandano, Giuseppe Maurizio Facchi, and Raffaella Lanzarotti. "2S-SGCN: A two-stage stratified graph convolutional network model for facial landmark detection on 3D data." Computer Vision and Image Understanding 250 (January 2025): 104227. http://dx.doi.org/10.1016/j.cviu.2024.104227.

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18

Feng, Huifang, Lingfei Ma, Yongtao Yu, Yiping Chen, and Jonathan Li. "SCL-GCN: Stratified Contrastive Learning Graph Convolution Network for pavement crack detection from mobile LiDAR point clouds." International Journal of Applied Earth Observation and Geoinformation 118 (April 2023): 103248. http://dx.doi.org/10.1016/j.jag.2023.103248.

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19

Deshmukh, Miss Samradni, and Prof K. R. Ingole. "Graph Based Personalized Travel Recommendation Using Data Mining Technique Collaborative Filtering Algorithm." International Journal for Research in Applied Science and Engineering Technology 10, no. 3 (2022): 828–30. http://dx.doi.org/10.22214/ijraset.2022.40739.

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Abstract: The recommendation system has growth choices in recent years. The recommendation system is exist in many applications which gives online travel information for individual travel package. A new model named travel recommendation using data mining techniques which extracts the features like locations, travel seasons of various landscapes. Thus it possesses the material of the travel packages and interests of tourists. Further extending E-TRAST model with the tourist-relation-area season topic model includes relationship with tourists. It includes mining significant tourist locations bas

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20

Richard, J. Simon. "Hybrid Quantum or Purely Classical? Assessing the Utility of Quantum Feature Embeddings." F1000Research 13 (August 23, 2024): 961. http://dx.doi.org/10.12688/f1000research.154428.1.

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Background As graph datasets—including social networks, supply chains, and bioinformatics data—grow in size and complexity, researchers are driven to search for solutions enhancing model efficiency and speed. One avenue that may provide a solution is Quantum Graph Learning (QGL), a subfield of Quantum Machine Learning (QML) that applies machine learning inspired or powered by quantum computing to graph learning tasks. Methods We reevaluate Quantum Feature Embeddings (QFE), a QGL methodology published by Xu et al. earlier this year. QFE uses Variational Quantum Circuits to preprocess node featu

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21

Zhang, Canyu, Zhenyao Wu, Xinyi Wu, Ziyu Zhao, and Song Wang. "Few-Shot 3D Point Cloud Semantic Segmentation via Stratified Class-Specific Attention Based Transformer Network." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 3 (2023): 3410–17. http://dx.doi.org/10.1609/aaai.v37i3.25449.

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3D point cloud semantic segmentation aims to group all points into different semantic categories, which benefits important applications such as point cloud scene reconstruction and understanding. Existing supervised point cloud semantic segmentation methods usually require large-scale annotated point clouds for training and cannot handle new categories. While a few-shot learning method was proposed recently to address these two problems, it suffers from high computational complexity caused by graph construction and inability to learn fine-grained relationships among points due to the use of po

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22

Dvořák, Wolfgang, Markus Ulbricht, and Stefan Woltran. "Recursion in Abstract Argumentation is Hard --- On the Complexity of Semantics Based on Weak Admissibility." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 7 (2021): 6288–95. http://dx.doi.org/10.1609/aaai.v35i7.16781.

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We study the computational complexity of abstract argumentation semantics based on weak admissibility, a recently introduced concept to deal with arguments of self-defeating nature. Our results reveal that semantics based on weak admissibility are of much higher complexity (under typical assumptions) compared to all argumentation semantics which have been analysed in terms of complexity so far. In fact, we show PSPACE-completeness of all non-trivial standard decision problems for weak-admissible based semantics. We then investigate potential tractable fragments and show that restricting the fr

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23

Gera, Ralucca, and Ping Zhang. "Realizable triples for stratified domination in graphs." Mathematica Bohemica 130, no. 2 (2005): 185–202. http://dx.doi.org/10.21136/mb.2005.134128.

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24

Alasiry, Areej, Gabriel Avelino Sampedro, Ahmad Almadhor, Roben A. Juanatas, Shtwai Alsubai, and Vincent Karovic. "Epileptic seizures diagnosis and prognosis from EEG signals using heterogeneous graph neural network." PeerJ Computer Science 11 (April 22, 2025): e2765. https://doi.org/10.7717/peerj-cs.2765.

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Epilepsy, often associated with neurodegenerative disorders following brain strokes, manifests as abnormal electrical activity bursts in the cerebral cortex, disrupting regular brain function. Electroencephalogram (EEG) recordings capture these distinctive brain signals, offering crucial insights into seizure detection and management. This study presents a novel approach leveraging a graph neural network (GNN) model with a heterogeneous graph representation to detect epileptic seizures from EEG data. Utilizing the well-established CHB-MIT EEG dataset for training and evaluation, the proposed m

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25

Ullah, Zia, Nevzat Akkurt, Haifaa F. Alrihieli, et al. "Temperature-Dependent Density and Magnetohydrodynamic Effects on Mixed Convective Heat Transfer along Magnetized Heated Plate in Thermally Stratified Medium Using Keller Box Simulation." Applied Sciences 12, no. 22 (2022): 11461. http://dx.doi.org/10.3390/app122211461.

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The heat transmission properties along the non-magnetized geometries have been numerically obtainedby various researchers. These mechanisms are less interesting in engineering and industrial processes because of excessive heating. According to current studies, the surface is magnetized and the fluid is electrically conductive, which helps to lessen excessive surface heating. The main objective of the current analysis is to numerically compute the temperature-dependent density effect on magnetohydrodynamic convective heat-transfer phenomena of electrical-conductive fluid flow along the vertical

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26

DAS, ARIYAM, and CARLO ZANIOLO. "A Case for Stale Synchronous Distributed Model for Declarative Recursive Computation." Theory and Practice of Logic Programming 19, no. 5-6 (2019): 1056–72. http://dx.doi.org/10.1017/s1471068419000358.

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AbstractA large class of traditional graph and data mining algorithms can be concisely expressed in Datalog, and other Logic-based languages, once aggregates are allowed in recursion. In fact, for most BigData algorithms, the difficult semantic issues raised by the use of non-monotonic aggregates in recursion are solved byPre-Mappability(${\cal P}$reM), a property that assures that for a program with aggregates in recursion there is an equivalent aggregate-stratified program. In this paper we show that, by bringing together the formal abstract semantics of stratified programs with the efficien

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27

Kuzalbayeva, Viktoriya P., and leksandra A. Yuminova. "Development of extraction-spectrophotometric method of molybdate ions determination of in the antipyrine – sulfosalicylic acid – water system." Вестник Пермского университета. Серия «Химия» = Bulletin of Perm University. CHEMISTRY 12, no. 1 (2022): 17–24. http://dx.doi.org/10.17072/2223-1838-2022-1-17-24.

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The stratified system antipyrine - sulfosalicylic acid - water eliminates the use of toxic organic solvents, allows for the group extraction of macro- and micro-quantities of elements into a small volume (~ 2 ml) water-organic phase, in this phase many photometric reagents are easily dissolved. The extraction-spectrophotometric method for the determination of molybdate-ions with phenylfluorone has been developed. The optimal conditions for the formation of a colored compound with an organic reagent have been determined: light absorption maximums; optimal time for color development; photometric

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28

Cuesta, Eduardo, Daniel Gonzalez-Madruga, Braulio J. Alvarez, and Marta Garcia-Dieguez. "Development of a Behaviour Curve for Quality Evaluation with Optoelectronic Profilometers." Key Engineering Materials 615 (June 2014): 51–56. http://dx.doi.org/10.4028/www.scientific.net/kem.615.51.

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This work shows an experimental procedure aimed to generate a graph with the optimal roughness parameters in order to obtain the best roughness measurements of an optoelectronic profilometer. The optimal parameters have been determined taking into account the grade of agreement between the optical roughness values and the equivalent values of traditional contact devices. The working parameters of the optoelectronic profilometer are based on computational filters which are controlled by software working with a 3D stratified colour map (chromatic fragmentation of the white light). However, these

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29

Heinzel, Andreas, Raul Fechete, Johannes Söllner, et al. "Data Graphs for Linking Clinical Phenotype and Molecular Feature Space." International Journal of Systems Biology and Biomedical Technologies 1, no. 1 (2012): 11–25. http://dx.doi.org/10.4018/ijsbbt.2012010102.

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Omics profiling in translational clinical research has provided detailed molecular characterization of disease phenotypes. Integrating this molecular data space with clinical phenotype descriptors has triggered advancements regarding a systems view on disease, resulting in the concept of stratified medicine. The authors present a methodology for patient stratification by analyzing clinical and molecular information on a per-patient level represented as a data graph. This approach rests on linking patient specific clinical data and biomarker profiles with molecular functional units being derive

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30

Guo, Wenhua, Wenqian Feng, Yiyan Qi, Pinghui Wang, and Jing Tao. "Mosar: Efficiently Characterizing Both Frequent and Rare Motifs in Large Graphs." Applied Sciences 12, no. 14 (2022): 7210. http://dx.doi.org/10.3390/app12147210.

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Due to high computational costs, exploring motif statistics (such as motif frequencies) of a large graph can be challenging. This is useful for understanding complex networks such as social and biological networks. To address this challenge, many methods explore approximate algorithms using edge/path sampling techniques. However, state-of-the-art methods usually over-sample frequent motifs and under-sample rare motifs, and thus they fail in many real applications such as anomaly detection (i.e., finding rare patterns). Furthermore, it is not feasible to apply existing weighted sampling methods

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31

Amirhosseini, Maziar, and Juhana Salim. "STRUCTURAL ANALYSIS OF SEMANTIC RELATIONS REGARDING INTEGRATION AND ASSOCIATION OF SEMANTIC NETWORK IN VOCBENCH AS AN AGRICULTURAL ONTOLOGY." International Journal of Engineering Technologies and Management Research 6, no. 5 (2020): 41–57. http://dx.doi.org/10.29121/ijetmr.v6.i5.2019.371.

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The purpose of this article is to analyze semantic relations based on graph-independent structural analysis in VocBench. The mix-method of deductive and inductive approach is adapted in operating the research methodology, especially for data collection. The research data are structural domains of semantic relations in ontologies. The data resource is the authoritative agricultural ontology, VocBench, that has been originated by Food and Agricultural organization (FAO), United Nation. VocBench includes around 40000 concepts. The sample size is around 1500 concepts. Sampling technique used is th

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Maziar, Amirhosseini, and Salim Juhana. "STRUCTURAL ANALYSIS OF SEMANTIC RELATIONS REGARDING INTEGRATION AND ASSOCIATION OF SEMANTIC NETWORK IN VOCBENCH AS AN AGRICULTURAL ONTOLOGY." International Journal of Engineering Technologies and Management Research 6, no. 5 (2019): 41–57. https://doi.org/10.5281/zenodo.2745517.

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Анотація:

The purpose of this article is to analyze semantic relations based on graph-independent structural analysis in VocBench. The mix-method of deductive and inductive approach is adapted in operating the research methodology, especially for data collection. The research data are structural domains of semantic relations in ontologies. The data resource is the authoritative agricultural ontology, VocBench, that has been originated by Food and Agricultural organization (FAO), United Nation. VocBench includes around 40000 concepts. The sample size is around 1500 concepts. Sampling technique used is th

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33

Isoguchi, Osamu, and Hiroshi Kawamura. "Coastal Wind Jets Flowing into the Tsushima Strait and Their Effect on Wind-Wave Development." Journal of the Atmospheric Sciences 64, no. 2 (2007): 564–78. http://dx.doi.org/10.1175/jas3858.1.

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Abstract Coastal wind jets that flow into the Tsushima Strait, Japan, and their effects on wind waves are investigated using synthetic aperture radar (SAR) images and altimeter-derived wind and waves. The coastal wind jets appear in 7 of 28 SAR-derived wind fields under the conditions of ambient southeasterly winds. Atmospheric conditions corresponding to the appearance of the coastal wind jets are examined by a high-resolution atmospheric community model, which indicates that stratified flows are influenced by the land topography and then pass through the strait forming low-level jet flows. S

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34

Huang, Fan, Jie Lian, Kei-Shing Ng, Kendrick Shih, and Varut Vardhanabhuti. "Predicting CT-Based Coronary Artery Disease Using Vascular Biomarkers Derived from Fundus Photographs with a Graph Convolutional Neural Network." Diagnostics 12, no. 6 (2022): 1390. http://dx.doi.org/10.3390/diagnostics12061390.

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The study population contains 145 patients who were prospectively recruited for coronary CT angiography (CCTA) and fundoscopy. This study first examined the association between retinal vascular changes and the Coronary Artery Disease Reporting and Data System (CAD-RADS) as assessed on CCTA. Then, we developed a graph neural network (GNN) model for predicting the CAD-RADS as a proxy for coronary artery disease. The CCTA scans were stratified by CAD-RADS scores by expert readers, and the vascular biomarkers were extracted from their fundus images. Association analyses of CAD-RADS scores were per

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Soejanto, Irwan, Intan Berlianty, and Nur Prangawayu. "Construction Of Community Perceptions On Government Effort In Managing The Covid-19 Pandemic: A Covid Score-10 Approach." RSF Conference Series: Engineering and Technology 1, no. 1 (2021): 136–43. http://dx.doi.org/10.31098/cset.v1i1.386.

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Countries around the world are still serious about dealing with the spread of COVID-19. No country in this world has been able to get out of the pandemic. The number of patients dying, recovering, and sick shows a graph increasing every day. To stop the spread of COVID-19, uniformity and support from the community are needed. The expected result of this research is to find out and construct knowledge, perceptions, and attitudes of the community towards the Covid-19 handling program that has been and will be carried out by the government. The research method uses a descriptive quantitative Covi

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Soejanto, Irwan, Intan Berlianty, and Nur Prangawayu. "Construction of Community Perceptions on Government Effort in Managing the Covid-19 Pandemic: A Covid Score-10 Approach." Applied Quantitative Analysis 2, no. 1 (2022): 1–9. http://dx.doi.org/10.31098/quant.806.

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Countries worldwide are still struggling to deal with the spread of COVID-19. No country in the World has been able to get out of the pandemic yet. The number of patients dying, recovering and getting sick shows a graph of increasing every day. To stop the spread of COVID-19 requires uniformity and support from the community. The expected result of this study is to know and construct knowledge, perceptions, and attitudes of the community towards the Covid-19 handling program that has been and will be carried out by the government. The research method uses a quantitative descriptive approach to

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Bagasta, Adifa Risa, Dewi Rahmawati, Dzahra Mar’atul F. Y. M., Indah Purbo Wahyuni, and Baskoro Adi Prayitno. "Profil Kemampuan Literasi Sains Peserta Didik di Salah Satu SMA Negeri Kota Sragen." PEDAGOGIA: Jurnal Pendidikan 7, no. 2 (2018): 121. http://dx.doi.org/10.21070/pedagogia.v7i2.1551.

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Literacy of science is a problem in Indonesia because of the low scientific literacy ability according to PISA. The objective of this research is to know the ability of science literacy ability of one of SMA Negeri in Sragen city. The research used survey research type with quantitative descriptive approach. The population in the study consisted of 5 classes of X IPA and 5 classes of XI IPA of 300 students. The sampling technique uses proportionate stratified random sampling. The sample was taken 10% of the population of 30 students consisting of 15 children class X IPA and 15 children class X

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Saeed, Sajeel, Kashif Tousif, Tehseen Haider, et al. "Assessment of Legibility and Completeness of Prescriptions at Tertiary Care Hospitals: A Cross-Sectional Study." BJPsych Open 8, S1 (2022): S181—S182. http://dx.doi.org/10.1192/bjo.2022.503.

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AimsThe aim of this study was to assess the legibility as well as components of a prescription prescribed by doctors in tertiary care hospitals of Rawalpindi, Pakistan.MethodsAn analytical cross-sectional study was conducted in pharmacies of two allied hospitals of Rawalpindi Medical University. Data were collected using stratified randomized sampling. A total of 661 prescriptions were selected and analysed for legibility by three experts. SPSS version 26.00 and Graph Pad Prism were used to enter and analyze the data. Descriptive statistics, correlational model and multinomial logistic regress

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Abouljam, Sana Mohammed, and Tulika . "Cloud based secured privacy preserving protocol for vehicular DTNS." International Journal of Engineering & Technology 7, no. 1.1 (2017): 199. http://dx.doi.org/10.14419/ijet.v7i1.1.9455.

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In this work, our research focuses on a design for request distribution and associated security attacks in dense vehicular ad hoc networks (VANET) and also sparse VANET that creates a delay tolerant network (DTN). Generally vehicles are stratified into clusters; we presented a reliability based clustering which has been designed for VANET. Cluster creation is according to complicated clustering metric that considers density of relation graph, link value and also traffic conditions. Since the ones in specific time and location are always affecting with the similar pattern of the direction and a

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Pesania, Glorybeth C. "Mediating Effect of Transformational Leadership Style of School Heads on the Relationship Between Organizational Climate and Self-Esteem of Teachers." International Journal of Research and Innovation in Social Science 06, no. 10 (2022): 347–61. http://dx.doi.org/10.47772/ijriss.2022.61016.

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This academic endeavor aimed to determine the mediating effect of the transformational leadership style of school heads on the relationship between organizational climate and teachers’ self-esteem. This quantitative study utilizes mediation analysis with the comprehensive interpretation of the data gathered through statistical treatments (Mean, Correlation Analysis, Med-graph using Sobel z-test). The participants were selected through a stratified random sampling technique where they were identified as secondary school teachers of the Municipality of Santo Tomas, Schools Division of Davao del

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Dorn, Christoph, and Haikal Pribadi. "TypeQL: A Type-Theoretic & Polymorphic Query Language." Proceedings of the ACM on Management of Data 2, no. 2 (2024): 1–27. http://dx.doi.org/10.1145/3651611.

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Relational data modeling can often be restrictive as it provides no direct facility for modeling polymorphic types, reified relations, multi-valued attributes, and other common high-level structures in data. This creates many challenges in data modeling and engineering tasks, and has led to the rise of more flexible NoSQL databases, such as graph and document databases. In the absence of structured schemas, however, we can neither express nor validate the intention of data models, making long-term maintenance of databases substantially more difficult. To resolve this dilemma, we argue that, pa

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Masarova, Lucia, Prithviraj Bose, Naval G. Daver, et al. "Cytogenetic Risk Stratification in Primary Versus Post-Essential Thrombocythemia / Post-Polycythemia Vera Myelofibrosis." Blood 128, no. 22 (2016): 4250. http://dx.doi.org/10.1182/blood.v128.22.4250.4250.

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Abstract Introduction: The Dynamic International Prognostic Scoring System-Plus (DIPPS-Plus) for primary myelofibrosis (PMF) categorizes cytogenetic abnormalities as "favorable" and "unfavorable." Abnormalities (Abn) -7/7q-; -5/5q-; i(17q), +8; inv(3); 12p-; 11q23; and complex karyotype (CK; >3 Abn) are considered unfavorable. More recently monosomal karyotype (MK), defined as 2 autosomal monosomies or a single monosomy with at least one additional structural Abn, was also recognized as unfavorable (Vaidya, Blood 2011). While the prognostic impact of cytogenetic Abn has been studied in pati

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Chartrand, Gary, Lisa Hansen, Reza Rashidi, and Naveed Sherwani. "Distance in stratified graphs." Czechoslovak Mathematical Journal 50, no. 1 (2000): 35–46. http://dx.doi.org/10.1023/a:1022428917827.

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Chin, Wei-Tzu. "Voice-Activated Emergency Response: Integrating Arduino Nicla Voice with MIT App Inventor for Elderly Care in Smart Homes." Highlights in Science, Engineering and Technology 87 (March 26, 2024): 263–94. http://dx.doi.org/10.54097/ywvnmk24.

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Nowadays, the average lifespan of people is increasing steadily. A multitude of elderly people have the tendency to reside in their own preferred dwellings. However, as a result of this, it might be too late to discover some elders' sudden abnormal situations. Therefore, it is a great concern for them to instantly and effectively deliver their distress signals to the outside world under consciousness, due to the fact that unanticipated accidents may happen all at once. This proposed system integrates the embedded system “Arduino Nicla Voice” in detection with MIT App Inventor in display on the

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Gillenwater, Lucas A., Lawrence E. Hunter, and James C. Costello. "GRACKLE: an interpretable matrix factorization approach for biomedical representation learning." Bioinformatics 41, Supplement_1 (2025): i609—i618. https://doi.org/10.1093/bioinformatics/btaf213.

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Abstract Motivation Disruption in normal gene expression can contribute to the development of diseases and chronic conditions. However, identifying disease-specific gene signatures can be challenging due to the presence of multiple co-occurring conditions and limited sample sizes. Unsupervised representation learning methods, such as matrix decomposition and deep learning, simplify high-dimensional data into understandable patterns, but often do not provide clear biological explanations. Incorporating prior biological knowledge directly can enhance understanding and address small sample sizes.

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Gross, Jonathan L., and Thomas W. Tucker. "Stratified graphs for imbedding systems." Discrete Mathematics 143, no. 1-3 (1995): 71–85. http://dx.doi.org/10.1016/0012-365x(94)00029-i.

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Guarino, Stefano, Enrico Mastrostefano, Massimo Bernaschi, et al. "Inferring Urban Social Networks from Publicly Available Data." Future Internet 13, no. 5 (2021): 108. http://dx.doi.org/10.3390/fi13050108.

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The definition of suitable generative models for synthetic yet realistic social networks is a widely studied problem in the literature. By not being tied to any real data, random graph models cannot capture all the subtleties of real networks and are inadequate for many practical contexts—including areas of research, such as computational epidemiology, which are recently high on the agenda. At the same time, the so-called contact networks describe interactions, rather than relationships, and are strongly dependent on the application and on the size and quality of the sample data used to infer

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Corlin, Laura, Shannon Ball, Mark Woodin, et al. "Relationship of Time-Activity-Adjusted Particle Number Concentration with Blood Pressure." International Journal of Environmental Research and Public Health 15, no. 9 (2018): 2036. http://dx.doi.org/10.3390/ijerph15092036.

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Emerging evidence suggests long-term exposure to ultrafine particulate matter (UFP, aerodynamic diameter < 0.1 µm) is associated with adverse cardiovascular outcomes. We investigated whether annual average UFP exposure was associated with measured systolic blood pressure (SBP), diastolic blood pressure (DBP), pulse pressure (PP), and hypertension prevalence among 409 adults participating in the cross-sectional Community Assessment of Freeway Exposure and Health (CAFEH) study. We used measurements of particle number concentration (PNC, a proxy for UFP) obtained from mobile monitoring campaig

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Caparos, Princes Joy T., and Melissa C. Napil. "Mediating Effect of Reading Attitude on the Relationship Between Motivation and Academic Performance Among Students in the Filipino Subject." Journal of Natural Language and Linguistics 2, no. 1 (2024): 213–20. https://doi.org/10.54536/jnll.v2i1.3849.

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The study aims to identify the mediating effect of reading attitude on the relationship between motivation and academic performance among students in the Filipino subject. Stratified random sampling was used to identify 333 students in grade 11 from three selected private institutions in Davao City, Davao del Sur, Region XI. The study used a quantitative research design and applied a descriptive-correlation technique. Meanwhile, the adopted survey questionnaire was validated and used to gather the data needed to conduct the study. Results revealed through weighted mean that the level of motiva

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Zhao, Xu, Xiaohong Wang, and Bingge Cong. "SGSLNet: stratified contextual graph pooling for point cloud segmentation with graph structural learning." Journal of Supercomputing 81, no. 1 (2024). http://dx.doi.org/10.1007/s11227-024-06656-y.

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