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1

Fu, Yun, and Yunqian Ma, eds. Graph Embedding for Pattern Analysis. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-4457-2.

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2

Shaw, Blake. Graph Embedding and Nonlinear Dimensionality Reduction. [publisher not identified], 2011.

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3

Guattery, Stephen. Graph embedding techniques for bounding condition numbers of incomplete factor preconditioners. Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1997.

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4

Center, Langley Research, ed. Graph embedding techniques for bounding condition numbers of incomplete factor preconditioners. National Aeronautics and Space Administration, Langley Research Center, 1997.

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5

Riesen, Kaspar. Graph classification and clustering based on vector space embedding. World Scientific, 2010.

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6

Yanpei, Liu. Embeddability in graphs. Science Press, 1995.

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7

L, Miller Gary, and Langley Research Center, eds. Graph embeddings and Laplacian eigenvalues. National Aeronautics and Space Administration, Langley Research Center, 1998.

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8

L, Miller Gary, and Langley Research Center, eds. Graph embeddings and Laplacian eigenvalues. National Aeronautics and Space Administration, Langley Research Center, 1998.

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9

Paulheim, Heiko, Petar Ristoski, and Jan Portisch. Embedding Knowledge Graphs with RDF2vec. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-30387-6.

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10

Institute for Computer Applications in Science and Engineering., ed. Graph embeddings, symmetric real matrices, and generalized inverses. Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1998.

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11

Institute for Computer Applications in Science and Engineering., ed. Graph embeddings, symmetric real matrices, and generalized inverses. Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1998.

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12

Alfaqeeh, Mosab, and David B. Skillicorn. Finding Communities in Social Networks Using Graph Embeddings. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-60916-9.

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13

Deza. Geometry of cuts and metrics. Springer-Verlag, 1997.

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14

Cai, Jiazhen. Counting embeddings of planar graphs using DFS trees. Courant Institute of Mathematical Sciences, New York University, 1992.

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15

Sun, Timothy. Testing Convexity and Acyclicity, and New Constructions for Dense Graph Embeddings. [publisher not identified], 2019.

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16

Graph Embedding For Pattern Analysis. Springer-Verlag New York Inc., 2012.

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17

Ma, Yunqian, and Yun Fu. Graph Embedding for Pattern Analysis. Springer, 2012.

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18

Ma, Yunqian, and Yun Fu. Graph Embedding for Pattern Analysis. Springer New York, 2014.

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19

Ma, Yunqian, and Yun Fu. Graph Embedding for Pattern Analysis. Springer London, Limited, 2012.

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20

Qingfeng, Chen, Wei Lan, Yi-Ping Phoebe Chen, and Wilson Wen Bin Goh, eds. Graph Embedding Methods for Multiple-Omics Data Analysis. Frontiers Media SA, 2021. http://dx.doi.org/10.3389/978-2-88971-600-5.

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21

Graph Classification and Clustering Based on Vector Space Embedding. World Scientific Publishing Co Pte Ltd, 2010.

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22

Graph Classification and Clustering Based on Vector Space Embedding. World Scientific Publishing Co Pte Ltd, 2010.

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23

Embedding Planar Graphs. University of Illinois, 2016. http://dx.doi.org/10.4135/9781529773132.

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24

Ristoski, Petar, and Jan Portisch. Embedding Knowledge Graphs with RDF2vec. Springer International Publishing AG, 2023.

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25

Alfaqeeh, Mosab. Finding Communities in Social Networks Using Graph Embeddings. Springer, 2024.

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26

Geometry of Semilinear Embeddings: Relations to Graphs and Codes. World Scientific Publishing Co Pte Ltd, 2015.

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27

Geometry of Semilinear Embeddings: Relations to Graphs and Codes. World Scientific Publishing Co Pte Ltd, 2015.

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28

Geometry of Semilinear Embeddings: Relations to Graphs and Codes. World Scientific Publishing Co Pte Ltd, 2015.

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29

Aggarwal, Manasvi, and M. N. Murty. Machine Learning in Social Networks: Embedding Nodes, Edges, Communities, and Graphs. Springer Singapore Pte. Limited, 2020.

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30

Vassiliev, V. A., Sergei K. Lando, and R. V. Gamkrelidze. Graphs on Surfaces and Their Applications. Springer, 2012.

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31

Gamkrelidze, R. V., Sergei K. Lando, Alexander K. Zvonkin, and V. A. Vassiliev. Graphs on Surfaces and Their Applications. Springer London, Limited, 2006.

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32

Lando, Sergei K. Graphs on Surfaces and Their Applications. Springer, 2010.

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33

Lando, Sergei K., Alexander K. Zvonkin, and D. B. Zagier. Graphs on Surfaces and Their Applications. Springer, 2004.

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34

Geometry of Cuts and Metrics Algorithms and Combinatorics. Springer, 2009.

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35

Dodd, Emlyn, and Dimitri Van Limbergen, eds. Methods in Ancient Wine Archaeology. Bloomsbury Publishing Plc, 2024. http://dx.doi.org/10.5040/9781350346680.

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Bringing together a wide array of modern scientific techniques and interdisciplinary approaches, this book provides an accessible guide to the methods that form the current bedrock of research into Roman, and more broadly ancient, wine. Chapters are arranged into thematic sections, covering biomolecular archaeology and chemical analysis, archaeobotany and palynology, vineyard and landscape archaeology and computational and experimental archaeology. These include discussions of some of the most recent techniques, such as ancient DNA and organic residue analyses, geophysical prospection, multisp
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