Graph representation learning
Material type: TextLanguage: English Series: Synthesis lectures on artificial intelligence and machine learningPublication details: California: Morgan & Claypool, 2020 Description: 141p. pbISBN: 9781681739632Subject(s): MACHINE LEARNING | NEURAL NETWORKS | GRAPH THEORYDDC classification: 519.171Item type | Current library | Call number | Status | Date due | Barcode |
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Book | SMS Library | 519.171 HAM-G (Browse shelf(Opens below)) | Available | 23466 |
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519.17 SAO-T Tour Through Graph Theory[A] | 519.17 TER-Z Zeta functions of graphs | 519.17 WIL-I Introduction to graph theory | 519.171 HAM-G Graph representation learning | 519.171(035) HAM-H Handbook of product graphs | 519.172 LI-G Graph energy | 519.172.4 BRO-D Distance-regular graphs |
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