{"product_id":"introduction-to-graph-neural-networks-springer-international-publishing-ag-9783031004599-zhiyuan-zhiyuan-liu","title":"Introduction to Graph Neural Networks","description":"\u003cp\u003eDiscover the cutting-edge world of graph neural networks with \u003cstrong\u003eIntroduction to Graph Neural Networks\u003c\/strong\u003e by \u003cstrong\u003eZhiyuan Zhiyuan Liu\u003c\/strong\u003e. Published in 2020 by \u003cstrong\u003eSpringer International Publishing AG\u003c\/strong\u003e, this insightful paperback spans 109 pages and delves into the foundational concepts and advanced variants of graph neural networks.\u003c\/p\u003e \n\n\u003cp\u003eIn this comprehensive guide, readers will explore a variety of models, including graph convolutional networks, graph recurrent networks, graph attention networks, and graph residual networks. Each variant is meticulously explained, providing a solid framework for understanding the complexities of graph-based learning.\u003c\/p\u003e \n\n\u003cp\u003eThis book is an essential resource for researchers, practitioners, and students eager to deepen their knowledge in machine learning and network analysis. Enhance your understanding of this dynamic field and unlock new possibilities with \u003cstrong\u003eIntroduction to Graph Neural Networks\u003c\/strong\u003e.\u003c\/p\u003e","brand":"Zhiyuan Zhiyuan Liu","offers":[{"title":"Default Title","offer_id":52271040463190,"sku":"9783031004599","price":66.68,"currency_code":"EUR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0886\/3206\/6390\/files\/9783031004599.jpg?v=1767806659","url":"https:\/\/www.laufgard.com\/products\/introduction-to-graph-neural-networks-springer-international-publishing-ag-9783031004599-zhiyuan-zhiyuan-liu","provider":"Bookshop","version":"1.0","type":"link"}