Advances in Graph Neural Networks (Synthesis Lectures on Data Mining and Knowledge Discovery)
by Chuan Shi, Xiao Wang, Cheng Yang
This volume surveys recent advances in graph neural networks, focusing on architectures, algorithms, and applications in data mining and knowledge discovery for researchers and practitioners.
About This Book
Advances in Graph Neural Networks presents current research developments in graph-based learning methods.
The book covers theoretical foundations and practical applications within data mining contexts.
Readers will find discussions on model architectures, training techniques, and evaluation strategies.
Content is organized to support both academic study and applied research in knowledge discovery.
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