Unsupervised Learning in Space and Time: A Modern Approach for Computer Vision using Graph-based Techniques and Deep Neural Networks (Advances in Computer Vision and Pattern Recognition)
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Graph Neural Networks in Practice: Design, Train, and Apply GNNs for Real-World AI Systems
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Graph Neural Networks for Real-World AI Systems: Architectures, Training Pipelines, and Scalable Graph Intelligence with GCN, GAT, GraphSAGE, and PyTorch Geometric
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Graph Neural Networks: Essentials and Use Cases: The Essentials and the Use Cases
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Deep Learning Foundations & Modern Architectures: Mastering Deep Learning: Transformers, Diffusion Models, Graph Networks & Next-Generation Neural Architectures
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Graph Neural Networks (GNNs) for Kids: A "Seuss-inspired" for the whole family
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Graph Neural Networks for Practical AI Systems: Designing Architectures and Training Pipelines for Scalable Graph Intelligence with GCN, GAT, ... 2 (Modern AI Systems Engineering with Python)
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Introduction to Graph Neural Networks (Synthesis Lectures on Artificial Intelligence and Machine Learning)
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Hands-On Neural Networks with TensorFlow 2.0 : Understand TensorFlow, from static graph to eager execution, and design neural networks
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Graph Neural Networks in Practice: Design, Train, and Apply GNNs for Real-World AI Systems
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Graph Spectra for Complex Networks
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Graph Machine Learning Handbook: A Practical Guide to Graph Neural Networks, Embeddings, and Real-World Applications with PyTorch and DGL (Programming AI & Development Handbook Collection)
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Domain-Specific Computer Architectures for Emerging Applications : Machine Learning and Neural Networks
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Graph Neural Networks for Real-World AI Systems: Architectures, Training Pipelines, and Scalable Graph Intelligence with GCN, GAT, GraphSAGE, and PyTorch Geometric
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A Complete Guide to Graph Representation Learning with Case Studies
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Graph Neural Networks: Concepts and Applications
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Performance Predictor in Evolutionary Neural Architecture Search : Methods and Applications
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Graph Machine Learning Mastery: A Complete Guide to Graph Neural Networks, Graph Transformers, Temporal GNNs, and LLM-Powered Graph AI with PyTorch Geometric & DGL
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Graph Learning and Network Science for Natural Language Processing
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Graph Machine Learning Handbook: A Practical Guide to Graph Neural Networks, Embeddings, and Real-World Applications with PyTorch and DGL (Programming AI & Development Handbook Collection)
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Domain-Specific Knowledge Graph Construction
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Hands-On Graph Neural Networks Using Python: Build, train, and optimize graph-based deep learning models with PyTorch Geometric and Python
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Deep Learning Foundations & Modern Architectures: Mastering Deep Learning: Transformers, Diffusion Models, Graph Networks & Next-Generation Neural Architectures
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Graph Neural Networks for Practical AI Systems: Designing Architectures and Training Pipelines for Scalable Graph Intelligence with GCN, GAT, ... (Modern AI Systems Engineering with Python)
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