Informasi Umum

Kode

22.21.1530

Klasifikasi

003.3 - Computer science- system- computer modeling and simulation

Jenis

Buku - Elektronik (E-Book)

Subjek

Computer Science, Algorithms, Electrical Engineering,

No. Rak

Tel-U Gedung Manterawu Lantai 5 : Rak 1
Tel-U Purwokerto : Rak 1

Dilihat

77 kali

Informasi Lainnya

Abstraksi

This book deals with network representation learning. It deals with embedding nodes, edges, subgraphs and graphs. There is a growing interest in understanding complex systems in different domains including health, education, agriculture and transportation. Such complex systems are analyzed by modeling, using networks that are aptly called complex networks. Networks are becoming ubiquitous as they can represent many real-world relational data, for instance, information networks, molecular structures, telecommunication networks and protein–protein interaction networks. Analysis of these networks provides advantages in many fields such as recommendation (recommending friends in a social network), biological field (deducing connections between proteins for treating new diseases) and community detection (grouping users of a social network according to their interests) by leveraging the latent information of networks. An active and important area of current interest is to come out with algorithms that learn features by embedding nodes or (sub)graphs into a vector space. These tasks come under the broad umbrella of representation learning. A representation learning model learns a mapping function that transforms the graphs' structure information to a low-/high-dimension vector space maintaining all the relevant properties.

Koleksi & Sirkulasi

Tersedia 1 dari total 1 Koleksi

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Pengarang

Nama Alex X. Liu, Rui Li
Jenis Perorangan
Penyunting
Penerjemah

Penerbit

Nama Springer
Kota Switzerland
Tahun 2021

Sirkulasi

Harga sewa IDR 0,00
Denda harian IDR 0,00
Jenis Non-Sirkulasi

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