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A comprehensive text on foundations and techniques of graph neural networks with applications in NLP, data mining, vision and healthcare.

Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry. Building relational induct

Build machine learning algorithms using graph data and efficiently exploit topological information within your models Key Features Implement machine learning te

Deep Learning models are at the core of artificial intelligence research today. It is well known that deep learning techniques are disruptive for Euclidean data

Upgrade your machine learning models with graph-based algorithms, the perfect structure for complex and interlinked data. Summary In Graph-Powered Machine Learn