Editore: New York, The American Numismatic Society, 1951
Da: Hammer Mountain Book Halls, ABAA, Schenectady, NY, U.S.A.
Softcover. Very good condition. . 254p. Illus. 55 plates. (Numismatic Notes and Monographs, no. 122).
Condizione: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 164,57
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 164,57
Quantità: Più di 20 disponibili
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 164,55
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Condizione: New.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 180,88
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 181,03
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 181,83
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Condizione: As New. Unread book in perfect condition.
Da: Buchpark, Trebbin, Germania
EUR 106,93
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: Hervorragend. Zustand: Hervorragend | Seiten: 340 | Sprache: Englisch | Produktart: Bücher | Representation learning in heterogeneous graphs (HG) is intended to provide a meaningful vector representation for each node so as to facilitate downstream applications such as link prediction, personalized recommendation, node classification, etc. This task, however, is challenging not only because of the need to incorporate heterogeneous structural (graph) information consisting of multiple types of node and edge, but also the need to consider heterogeneous attributes or types of content (e.g. text or image) associated with each node. Although considerable advances have been made in homogeneous (and heterogeneous) graph embedding, attributed graph embedding and graph neural networks, few are capable of simultaneously and effectively taking into account heterogeneous structural (graph) information as well as the heterogeneous content information of each node.In this book, we provide a comprehensive survey of current developments in HG representation learning.More importantly, we present the state-of-the-art in this field, including theoretical models and real applications that have been showcased at the top conferences and journals, such as TKDE, KDD, WWW, IJCAI and AAAI. The book has two major objectives: (1) to provide researchers with an understanding of the fundamental issues and a good point of departure for working in this rapidly expanding field, and (2) to present the latest research on applying heterogeneous graphs to model real systems and learning structural features of interaction systems. To the best of our knowledge, it is the first book to summarize the latest developments and present cutting-edge research on heterogeneous graph representation learning. To gain the most from it, readers should have a basic grasp of computer science, data mining and machine learning.
Condizione: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.
Condizione: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.
Da: Revaluation Books, Exeter, Regno Unito
EUR 249,42
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 338 pages. 9.25x6.10x0.79 inches. In Stock.
Da: BUCHSERVICE / ANTIQUARIAT Lars Lutzer, Wahlstedt, Germania
EUR 229,90
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: gut. Connoisseurship of Chinese furniture. Ming and early Qing dynasties. In deutscher Sprache. pages.
Editore: Gaoyuan Bookstore, 1947
Da: Aeon Bookstore, New York, NY, U.S.A.
Prima edizione
Soft cover. Condizione: Very Good. 1st Edition. Beautiful volume of wood engravings specifically from the Northern region of China, published by Gaoyuan Bookstore, 1947, 130 woodcuts by Gu Yuan, Li Chun Ku Yuan, Li Chun, Hu I-Chuan, Chiao Hsing-ho, Mao Ning, Shih Lo, Wang Liu-Chiu, Sou Yu, Chi Kwei-sheng, Ma Ta, Wu Cha, Hsia Feng, Chen Shu-liang, Chi Dan, Yan Han, Ghang Wang, etc (夏 風, 楊涵, 戚 單, 郭 鈞, 張 望, 古元, 力 羣, 王流秋, 馬 達) with several in bold bright color, though largely in black and white. 125pp. Index and introduction in English and Chinese, table of contents reproduced in both languages in laid-in foldout insert. Excellent condition overall, being sturdy, well bound and clean. Pages age toned pretty evenly throughout, although there are several pages on which the color prints have been made that have avoided this fate, perhaps being acid free type of paper. Even though toned, the black and white prints are bold, and the color ones on the acid free paper are quite brilliant and beautiful. Slight bit of waviness to the side margins of those pages, not found elsewhere. Covers mostly clean, with one very lightly bumped area to the front cover. A couple of white paint stains on the spine and a very small bit of loss to the paper of the spine at the crown. Spine text still legible. Back cover toned and with some very minor staining and a couple of tiny closed tears. Despite all of this, a lovely example, which is now covered in mylar.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 46,39
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Lingua: Inglese
Editore: Springer, Berlin|Springer Nature Singapore|Springer, 2023
ISBN 10: 9811661685 ISBN 13: 9789811661686
Da: moluna, Greven, Germania
EUR 144,94
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Representation learning in heterogeneous graphs (HG) is intended to provide a meaningful vector representation for each node so as to facilitate downstream applications such as link prediction, personalized recommendation, node classification, etc. This tas.
Lingua: Inglese
Editore: Springer, Berlin|Springer Nature Singapore|Springer, 2022
ISBN 10: 9811661650 ISBN 13: 9789811661655
Da: moluna, Greven, Germania
EUR 144,94
Quantità: Più di 20 disponibili
Aggiungi al carrelloGebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Representation learning in heterogeneous graphs (HG) is intended to provide a meaningful vector representation for each node so as to facilitate downstream applications such as link prediction, personalized recommendation, node classification, etc. This tas.
Da: Majestic Books, Hounslow, Regno Unito
EUR 231,71
Quantità: 4 disponibili
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Da: Majestic Books, Hounslow, Regno Unito
EUR 233,68
Quantità: 4 disponibili
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 234,23
Quantità: 4 disponibili
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 233,49
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND.