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Статті в журналах з теми "Relation Graphs"
Gholap, P. S., and V. E. Nikumbh. "TOPOLOGICAL SPACES GENERATED BY GRAPH." Jnanabha 52, no. 01 (2022): 01–07. http://dx.doi.org/10.58250/jnanabha.2022.52101.
Повний текст джерелаKe, Xiangyu, Arijit Khan, and Francesco Bonchi. "Multi-relation Graph Summarization." ACM Transactions on Knowledge Discovery from Data 16, no. 5 (October 31, 2022): 1–30. http://dx.doi.org/10.1145/3494561.
Повний текст джерелаRatheesh, K. P. "On Soft Graphs and Chained Soft Graphs." International Journal of Fuzzy System Applications 7, no. 2 (April 2018): 85–102. http://dx.doi.org/10.4018/ijfsa.2018040105.
Повний текст джерелаGuo, Yunfei, Fei Yin, Wei Feng, Xudong Yan, Tao Xue, Shuqi Mei, and Cheng-Lin Liu. "Social Relation Reasoning Based on Triangular Constraints." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 1 (June 26, 2023): 737–45. http://dx.doi.org/10.1609/aaai.v37i1.25151.
Повний текст джерелаKoch, Sebastian. "Unification of Graphs and Relations in Mizar." Formalized Mathematics 28, no. 2 (July 1, 2020): 173–86. http://dx.doi.org/10.2478/forma-2020-0015.
Повний текст джерелаYang, Wenjie, Jianlin Zhang, Jingju Cai, and Zhiyong Xu. "Relation Selective Graph Convolutional Network for Skeleton-Based Action Recognition." Symmetry 13, no. 12 (November 30, 2021): 2275. http://dx.doi.org/10.3390/sym13122275.
Повний текст джерелаFlippen, Christopher, Allison H. Moore, and Essak Seddiq. "Quotients of the Gordian and H(2)-Gordian graphs." Journal of Knot Theory and Its Ramifications 30, no. 05 (April 2021): 2150037. http://dx.doi.org/10.1142/s0218216521500371.
Повний текст джерелаSun, Ke, Shuo Yu, Ciyuan Peng, Yueru Wang, Osama Alfarraj, Amr Tolba, and Feng Xia. "Relational Structure-Aware Knowledge Graph Representation in Complex Space." Mathematics 10, no. 11 (June 4, 2022): 1930. http://dx.doi.org/10.3390/math10111930.
Повний текст джерелаYurttas Gunes, Aysun, Sadik Delen, Musa Demirci, Ahmet Sinan Cevik, and Ismail Naci Cangul. "Fibonacci Graphs." Symmetry 12, no. 9 (August 19, 2020): 1383. http://dx.doi.org/10.3390/sym12091383.
Повний текст джерелаAn, Dezhi, Xuejie Ma, Cao Jiang, Lei Liu, and Yanxu Wang. "Research and Application of Relation Extraction based on Triple Relation Graph Convolutional Networks." Journal of Physics: Conference Series 2166, no. 1 (January 1, 2022): 012060. http://dx.doi.org/10.1088/1742-6596/2166/1/012060.
Повний текст джерелаДисертації з теми "Relation Graphs"
Mercier, Pierre-Adelin. "Graphages à type d'isomorphisme prescrit." Phd thesis, Ecole normale supérieure de lyon - ENS LYON, 2012. http://tel.archives-ouvertes.fr/tel-00751265.
Повний текст джерелаByrne, Kate. "Populating the Semantic Web : combining text and relational databases as RDF graphs." Thesis, University of Edinburgh, 2009. http://hdl.handle.net/1842/3781.
Повний текст джерелаBouakaz, Adnan. "Real-time scheduling of dataflow graphs." Phd thesis, Université Rennes 1, 2013. http://tel.archives-ouvertes.fr/tel-00945453.
Повний текст джерелаEichler, Kathrin [Verfasser], and Josef van [Akademischer Betreuer] Genabith. "Generating and applying textual entailment graphs for relation extraction and email categorization / Kathrin Eichler ; Betreuer: Josef van Genabith." Saarbrücken : Saarländische Universitäts- und Landesbibliothek, 2018. http://d-nb.info/1162892242/34.
Повний текст джерелаCapshaw, Riley. "Relation Classification using Semantically-Enhanced Syntactic Dependency Paths : Combining Semantic and Syntactic Dependencies for Relation Classification using Long Short-Term Memory Networks." Thesis, Linköpings universitet, Interaktiva och kognitiva system, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-153877.
Повний текст джерелаBenkoussas, Chahinez. "Approches non supervisées pour la recommandation de lectures et la mise en relation automatique de contenus au sein d'une bibliothèque numérique." Thesis, Aix-Marseille, 2016. http://www.theses.fr/2016AIXM4379/document.
Повний текст джерелаThis thesis deals with the field of information retrieval and the recommendation of reading. It has for objects:— The creation of new approach of document retrieval and recommendation using techniques of combination of results, aggregation of social data and reformulation of queries;— The creation of an approach of recommendation using methods of information retrieval and graph theories.Two collections of documents were used. First one is a collection which is provided by CLEF (Social Book Search - SBS) and the second from the platforms of electronic sources in Humanities and Social Sciences OpenEdition.org (Revues.org). The modelling of the documents of every collection is based on two types of relations:— For the first collection (SBS), documents are connected with similarity calculated by Amazon which is based on several factors (purchases of the users, the comments, the votes, products bought together, etc.);— For the second collection (OpenEdition), documents are connected with relations of citations, extracted from bibliographical references.We show that the proposed approaches bring in most of the cases gain in the performances of research and recommendation. The manuscript is structured in two parts. The first part "state of the art" includes a general introduction, a state of the art of informationretrieval and recommender systems. The second part "contributions" includes a chapter on the detection of reviews of books in Revues.org; a chapter on the methods of IR used on complex queries written in natural language and last chapter which handles the proposed approach of recommendation which is based on graph
Ravelo, Jesus N. "Relations, graphs and programs." Thesis, University of Oxford, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.299107.
Повний текст джерелаAtto, Muhsin. "Implementing Order Relations on Graphs." Thesis, Uppsala University, Department of Information Technology, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-101170.
Повний текст джерелаThe design of automatic verification methods for programs manipulating dynamic data structures is a challenging problem. We consider programs that operate on a data structures with one next-pointer, such as singly linked lists and circular lists. We refer to such data structures as heaps. We represent a heap as a graph, where vertices in the graph represent cells in the heap. To test that a program is safe, we should check that the out put of this program is well formed and is sorted. The aim of this project is to design a number of algorithms to test the different orderings between graphs which arise when including heaps. More precisely, given two graphs, G1 and G2, we check that G1 can be included in G2, using different type of orderings.
Lucas, Claire. "Trois essais sur les relations entre les invariants structuraux des graphes et le spectre du Laplacien sans signe." Phd thesis, Ecole Polytechnique X, 2013. http://pastel.archives-ouvertes.fr/pastel-00956183.
Повний текст джерелаHaugeard, Jean-Emmanuel. "Extraction et reconnaissance de primitives dans les façades de Paris à l'aide d'appariement de graphes." Thesis, Cergy-Pontoise, 2010. http://www.theses.fr/2010CERG0497.
Повний текст джерелаThis last decade, modeling of 3D city became one of the challenges of multimedia search and an important focus in object recognition. In this thesis we are interested to locate various primitive, especially the windows, in the facades of Paris. At first, we present an analysis of the facades and windows properties. Then we propose an algorithm able to extract automatically window candidates. In a second part, we discuss about extraction and recognition primitives using graph matching of contours. Indeed an image of contours is readable by the human eye, which uses perceptual grouping and makes distinction between entities present in the scene. It is this mechanism that we have tried to replicate. The image is represented as a graph of adjacency of segments of contours, valued by information orientation and proximity to edge segments. For the inexact matching of graphs, we propose several variants of a new similarity based on sets of paths, able to group several contours and robust to scale changes. The similarity between paths takes into account the similarity of sets of segments of contours and the similarity of the regions defined by these paths. The selection of images from a database containing a particular object is done using a KNN or SVM classifier
Книги з теми "Relation Graphs"
Schmidt, Gunther, and Thomas Ströhlein. Relations and Graphs. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-77968-8.
Повний текст джерелаBader, David A., 1969- editor of compilation, Meyerhenke, Henning, 1978- editor of compilation, Sanders, Peter, editor of compilation, and Wagner, Dorothea, 1957- editor of compilation, eds. Graph partitioning and graph clustering: 10th DIMACS Implementation Challenge Workshop, February 13-14, 2012, Georgia Institute of Technology, Atlanta, GA. Providence, Rhode Island: American Mathematical Society, 2013.
Знайти повний текст джерелаSchmidt, Gunther. Relations and graphs: Discrete mathematics for computer scientists. Berlin: New York, 1993.
Знайти повний текст джерелаSchmidt, Gunther. Relations and graphs: Discrete mathematics for computer scientists. Berlin: Springer, 1993.
Знайти повний текст джерелаVarlamov, Oleg. Mivar databases and rules. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1508665.
Повний текст джерелаUniversity of Exeter. Centre for Innovation in Mathematics Teaching, ed. Relations by experiment. Exeter: Centre for Innovation in Mathematics Teaching, 1989.
Знайти повний текст джерелаProductions, JN, ed. Oresama teacher: Eternal relation. San Francisco, Calif: Viz Media, 2012.
Знайти повний текст джерелаJanowitz, M. F. Ordinal and relational clustering. Singapore: World Scientific, 2010.
Знайти повний текст джерелаRebecca, Otis, ed. Friends and relations: Using literature with social themes, grades 3-5. Greenfield, MA: Northeast Foundation for Children, 2000.
Знайти повний текст джерелаFraïssé, Roland. La reconstruction d'une relation dans l'hypothèse forte: Isomorphie des restrictions à chaque partie stricte de la base. Montréal, Québec, Camada: Presses de l'Université Laval, 1990.
Знайти повний текст джерелаЧастини книг з теми "Relation Graphs"
Schmidt, Gunther, and Thomas Ströhlein. "Graphs: Associated Relation, Incidence, Adjacency." In Relations and Graphs, 81–104. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-77968-8_5.
Повний текст джерелаBlanchard, Philippe, and Dimitri Volchenkov. "Worth Another Binary Relation: Graphs." In Springer Series in Synergetics, 19–41. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19592-1_2.
Повний текст джерелаDwivedi, Sri Nath, Harish Karnick, and Renu Jain. "Relation Classification: How Well Do Neural Network Approaches Work?" In Knowledge Graphs and Semantic Web, 102–12. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-65384-2_8.
Повний текст джерелаCarvalho, Danilo S., André Freitas, and João C. P. da Silva. "Graphia: Extracting Contextual Relation Graphs from Text." In Advanced Information Systems Engineering, 236–41. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41242-4_31.
Повний текст джерелаMohamed, Sameh K., Emir Muñoz, Vít Nováček, and Pierre-Yves Vandenbussche. "Identifying Equivalent Relation Paths in Knowledge Graphs." In Lecture Notes in Computer Science, 299–314. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59888-8_26.
Повний текст джерелаRios-Alvarado, Ana B., Jose L. Martinez-Rodriguez, Tania Y. Guerrero-Melendez, Adolfo J. Rodriguez-Rodriguez, and David T. Vargas-Requena. "Axiomatic Relation Extraction from Text in the Domain of Tourism." In Knowledge Graphs and Semantic Web, 14–28. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-65384-2_2.
Повний текст джерелаPollandt, Silke. "Relation Graphs: A Structure for Representing Relations in Contextual Logic of Relations." In Conceptual Structures: Integration and Interfaces, 34–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45483-7_4.
Повний текст джерелаNojima, Yusuke, Yasuhito Asano, and Masatoshi Yoshikawa. "Greedy Approximation Algorithms for Generalized Maximum Flow Problem towards Relation Extraction in Information Networks." In Computational Geometry and Graphs, 132–42. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-45281-9_13.
Повний текст джерелаDeng, Jia, Nan Ding, Yangqing Jia, Andrea Frome, Kevin Murphy, Samy Bengio, Yuan Li, Hartmut Neven, and Hartwig Adam. "Large-Scale Object Classification Using Label Relation Graphs." In Computer Vision – ECCV 2014, 48–64. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10590-1_4.
Повний текст джерелаSun, Zequn, Jiacheng Huang, Wei Hu, Muhao Chen, Lingbing Guo, and Yuzhong Qu. "TransEdge: Translating Relation-Contextualized Embeddings for Knowledge Graphs." In Lecture Notes in Computer Science, 612–29. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30793-6_35.
Повний текст джерелаТези доповідей конференцій з теми "Relation Graphs"
Huang, Zhichao, Xutao Li, Yunming Ye, and Michael K. Ng. "MR-GCN: Multi-Relational Graph Convolutional Networks based on Generalized Tensor Product." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/175.
Повний текст джерелаSousa, Rita T., Sara Silva, and Catia Pesquita. "Explainable Representations for Relation Prediction in Knowledge Graphs." In 20th International Conference on Principles of Knowledge Representation and Reasoning {KR-2023}. California: International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/kr.2023/62.
Повний текст джерелаZhang, Fuxiang, Xin Wang, Zhao Li, and Jianxin Li. "TransRHS: A Representation Learning Method for Knowledge Graphs with Relation Hierarchical Structure." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/413.
Повний текст джерелаYe, Rui, Xin Li, Yujie Fang, Hongyu Zang, and Mingzhong Wang. "A Vectorized Relational Graph Convolutional Network for Multi-Relational Network Alignment." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/574.
Повний текст джерелаWang, Huijuan, Siming Dai, Weiyue Su, Hui Zhong, Zeyang Fang, Zhengjie Huang, Shikun Feng, Zeyu Chen, Yu Sun, and Dianhai Yu. "Simple and Effective Relation-based Embedding Propagation for Knowledge Representation Learning." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/382.
Повний текст джерелаWu, Yuting, Xiao Liu, Yansong Feng, Zheng Wang, Rui Yan, and Dongyan Zhao. "Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/733.
Повний текст джерелаPan, Jia-Hui, Jibin Gao, and Wei-Shi Zheng. "Action Assessment by Joint Relation Graphs." In 2019 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE, 2019. http://dx.doi.org/10.1109/iccv.2019.00643.
Повний текст джерелаBanerjee, Arindam, Sugato Basu, and Srujana Merugu. "Multi-way Clustering on Relation Graphs." In Proceedings of the 2007 SIAM International Conference on Data Mining. Philadelphia, PA: Society for Industrial and Applied Mathematics, 2007. http://dx.doi.org/10.1137/1.9781611972771.14.
Повний текст джерелаYang, Qiang, Qiannan Zhang, Chuxu Zhang, and Xiangliang Zhang. "Interpretable Relation Learning on Heterogeneous Graphs." In WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3488560.3498508.
Повний текст джерелаMandya, Angrosh, Danushka Bollegala, and Frans Coenen. "Graph Convolution over Multiple Dependency Sub-graphs for Relation Extraction." In Proceedings of the 28th International Conference on Computational Linguistics. Stroudsburg, PA, USA: International Committee on Computational Linguistics, 2020. http://dx.doi.org/10.18653/v1/2020.coling-main.565.
Повний текст джерелаЗвіти організацій з теми "Relation Graphs"
Baader, Franz, Ralf Molitor, and Stefan Tobies. On the Relation between Conceptual Graphs and Description Logics. Aachen University of Technology, 1998. http://dx.doi.org/10.25368/2022.87.
Повний текст джерелаBarooah, Prabir, and Joao P. Hespanha. Estimation from Relative Measurements: Electrical Analogy and Large Graphs. Fort Belvoir, VA: Defense Technical Information Center, September 2007. http://dx.doi.org/10.21236/ada473862.
Повний текст джерелаKaplan, I., G. Abdulla, S. Brugger, and S. Kohn. Implementing Graph Pattern Queries on a Relational Database. Office of Scientific and Technical Information (OSTI), December 2007. http://dx.doi.org/10.2172/924192.
Повний текст джерелаHidders, Jan, Bei Li, and George Fletcher, eds. Property Graph Schema contributions to WG3. Linked Data Benchmark Council, June 2020. http://dx.doi.org/10.54285/ldbc.ofjf3566.
Повний текст джерелаFait, Aaron, Grant Cramer, and Avichai Perl. Towards improved grape nutrition and defense: The regulation of stilbene metabolism under drought. United States Department of Agriculture, May 2014. http://dx.doi.org/10.32747/2014.7594398.bard.
Повний текст джерелаConrad, Shane B. Loyalty, Leadership, and the Profession: A Grass Roots Approach to Civil-Military Relations. Fort Belvoir, VA: Defense Technical Information Center, March 2011. http://dx.doi.org/10.21236/ada553154.
Повний текст джерелаBarrera-Osorio, Felipe, Paul Gertler, Nozomi Nakajima, and Harry A. Patrinos. Promoting Parental Involvement in Schools: Evidence from Two Randomized Experiments. Research on Improving Systems of Education (RISE), January 2021. http://dx.doi.org/10.35489/bsg-rise-wp_2021/060.
Повний текст джерелаRodríguez, María Ximena, Andrés Díaz, Jimmy Zapata, Alex Smith, and Paula Mesa. Avances en el manejo y control de Fusarium oxysporum en el cultivo de uchuva (physalis peruviana). Corporación colombiana de investigación agropecuaria - AGROSAVIA, 2021. http://dx.doi.org/10.21930/agrosavia.cartilla.2012.1.
Повний текст джерелаBerlinski, Samuel, Matías Busso, Taryn Dinkelman, and Claudia Martínez. Research Insights: Can Low-Cost Communication Technologies Bridge Information Gaps between Schools and Parents? Inter-American Development Bank, October 2021. http://dx.doi.org/10.18235/0003737.
Повний текст джерелаSchwarte, Kirk A., and James R. Russell. Grazing Management Effects on the Sward and Physical Characteristics Relative to Streams in Cool-Season Grass Pastures. Ames (Iowa): Iowa State University, January 2009. http://dx.doi.org/10.31274/ans_air-180814-71.
Повний текст джерела