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Titlebook: Advances in Graph Neural Networks; Chuan Shi,Xiao Wang,Cheng Yang Book 2023 The Editor(s) (if applicable) and The Author(s), under exclusi

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樓主
發(fā)表于 2025-3-21 19:38:10 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Advances in Graph Neural Networks
影響因子2023Chuan Shi,Xiao Wang,Cheng Yang
視頻videohttp://file.papertrans.cn/149/148146/148146.mp4
發(fā)行地址Introduces the foundations and frontiers of graph neural networks.Utilizes graph data to describe pairwise relations for real-world data from many different domains.Summarizes the basic concepts and t
學科分類Synthesis Lectures on Data Mining and Knowledge Discovery
圖書封面Titlebook: Advances in Graph Neural Networks;  Chuan Shi,Xiao Wang,Cheng Yang Book 2023 The Editor(s) (if applicable) and The Author(s), under exclusi
影響因子This book provides a comprehensive introduction to the foundations and frontiers of graph neural networks. In addition, the book introduces the basic concepts and definitions in graph representation learning and discusses the development of advanced graph representation learning methods with a focus on graph neural networks. The book providers researchers and practitioners with an understanding of the fundamental issues as well as a launch point for discussing the latest trends in the science. The authors emphasize several frontier aspects of graph neural networks and utilize graph data to describe pairwise relations for real-world data from many different domains, including social science, chemistry, and biology. Several frontiers of graph neural networks are introduced, which enable readers to acquire the needed techniques of advances in graph neural networks via theoretical models and real-world applications.?
Pindex Book 2023
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書目名稱Advances in Graph Neural Networks影響因子(影響力)




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書目名稱Advances in Graph Neural Networks讀者反饋學科排名




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沙發(fā)
發(fā)表于 2025-3-21 22:13:59 | 只看該作者
Making Sense of the Smell of Bangladesh GCN, including GraphSAGE (with an inductive framework for unseen data), graph attention network (with the attention mechanism for aggregating neighbors), and heterogeneous graph attention network (with semantic-level attention for heterogeneous graphs).
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發(fā)表于 2025-3-22 04:55:52 | 只看該作者
2151-0067 m many different domains.Summarizes the basic concepts and tThis book provides a comprehensive introduction to the foundations and frontiers of graph neural networks. In addition, the book introduces the basic concepts and definitions in graph representation learning and discusses the development of
5#
發(fā)表于 2025-3-22 12:09:27 | 只看該作者
Palgrave Studies in the History of Childhoodntal part of GNNs. In this chapter, we will introduce the message-passing functions of three representative homogeneous GNNs. Further, we show that most existing homogeneous GNNs can be unified as a closed-form framework, which may help the researchers understand and interpret the principles behind message-passing mechanism.
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發(fā)表于 2025-3-22 15:16:36 | 只看該作者
Palgrave Studies in the History of Childhood. In this chapter, we introduce three heterogeneous graph neural networks (HGNNs), including heterogeneous graph propagation network (hpn), distance encoding-based heterogeneous graph neural network (DHN), and self-supervised heterogeneous graph neural network with co-contrastive learning (HeCo).
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