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Keita Broadwater, Namid Stillman
Graph Neural Networks in Action

About the bookIn Graph Neural Networks in Action you will create deep learning models that are perfect for working with interconnected graph data. Start with a comprehensive introduction to graph data's u…

lieferbar in mind. 4 Wochen

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Liqiang Nie, Fan Liu
Advancing Recommender Systems with Graph Convolutional Networks

This book systematically examines scalability and effectiveness challenges related to the application of graph convolutional networks (GCNs) in recommender systems. By effectively modeling graph structure…

lieferbar innerhalb 2-3 Wochen

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David B. Skillicorn, Mosab Alfaqeeh
Finding Communities in Social Networks Using Graph Embeddings

Community detection in social networks is an important but challenging problem. This book develops a new technique for finding communities that uses both structural similarity and attribute similarity sim…

lieferbar innerhalb 2-3 Wochen

Buch

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Trefferliste "Graphs - Graph Neural Networks" - alle Bücher

Keita Broadwater, Namid Stillman Graph Neural Networks in Action

Liqiang Nie, Fan Liu Advancing Recommender Systems with Graph Convolutional Networks

David B. Skillicorn, Mosab Alfaqeeh Finding Communities in Social Networks Using Graph Embeddings

Keita Broadwater, Namid Stillman
Graph Neural Networks in Action

Liqiang Nie, Fan Liu
Advancing Recommender Systems with Graph Convolutional Networks

David B. Skillicorn, Mosab Alfaqeeh
Finding Communities in Social Networks Using Graph Embeddings