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Advances in Graph Neural Networks (Synthesis Lectures on Data Mining and Knowledge Discovery)
Advances in Graph Neural Networks (Synthesis Lectures on Data Mining and Knowledge Discovery)
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Hands-On Graph Neural Networks using Python: Practical techniques and architectures for building powerful graph and deep learning apps with PyTorch
Hands-On Graph Neural Networks using Python: Practical techniques and architectures for building powerful graph and deep learning apps with PyTorch
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Graph Neural Networks: Foundations, Frontiers, and Applications
Graph Neural Networks: Foundations, Frontiers, and Applications
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Graph Neural Networks in Action
Graph Neural Networks in Action
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Graph Neural Networks: Foundations, Frontiers, and Applications
Graph Neural Networks: Foundations, Frontiers, and Applications
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Neural Networks and Graph Models for Traffic and Energy Systems
Neural Networks and Graph Models for Traffic and Energy Systems
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Advanced Deep Learning Architectures: CNNs, RNNs, Transformers, Attention Mechanisms, LLMs, and Graph Neural Networks: 3 (Axionics AI Mastery Series 2025)
Advanced Deep Learning Architectures: CNNs, RNNs, Transformers, Attention Mechanisms, LLMs, and Graph Neural Networks: 3 (Axionics AI Mastery Series 2025)
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Graph Neural Networks in Practice: Design, Train, and Apply GNNs for Real-World AI Systems
Graph Neural Networks in Practice: Design, Train, and Apply GNNs for Real-World AI Systems
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Graph Neural Networks in Practice: Design, Train, and Apply GNNs for Real-World AI Systems
Graph Neural Networks in Practice: Design, Train, and Apply GNNs for Real-World AI Systems
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GRAPH ALGORITHMS IN ROBOTICS TENSORFLOW FOR SWARM INTELLIGENCE: Using Graph Neural Networks for Multi-Robot Coordination in ROS2
GRAPH ALGORITHMS IN ROBOTICS TENSORFLOW FOR SWARM INTELLIGENCE: Using Graph Neural Networks for Multi-Robot Coordination in ROS2
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GRAPH ALGORITHMS IN ROBOTICS TENSORFLOW FOR SWARM INTELLIGENCE: Using Graph Neural Networks for Multi-Robot Coordination in ROS2
GRAPH ALGORITHMS IN ROBOTICS TENSORFLOW FOR SWARM INTELLIGENCE: Using Graph Neural Networks for Multi-Robot Coordination in ROS2
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Advanced Deep Learning Architectures: CNNs, RNNs, Transformers, Attention Mechanisms, LLMs, and Graph Neural Networks (Axionics AI Mastery Series 2025)
Advanced Deep Learning Architectures: CNNs, RNNs, Transformers, Attention Mechanisms, LLMs, and Graph Neural Networks (Axionics AI Mastery Series 2025)
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Graph Convolutional Neural Networks for Computer Vision
Graph Convolutional Neural Networks for Computer Vision
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Graph Neural Networks: Essentials and Use Cases: The Essentials and the Use Cases
Graph Neural Networks: Essentials and Use Cases: The Essentials and the Use Cases
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Generative Ai, Large Language Models, Graph Neural Networks and Knowledge Graphs Applications (Artificial Intelligence Applications in Healthcare and Medicine)
Generative Ai, Large Language Models, Graph Neural Networks and Knowledge Graphs Applications (Artificial Intelligence Applications in Healthcare and Medicine)
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Graph Neural Networks for Neurological Disorders: Fundamentals, Applications and Benefits in Research and Diagnostics
Graph Neural Networks for Neurological Disorders: Fundamentals, Applications and Benefits in Research and Diagnostics
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Unsupervised Learning in Space and Time : A Modern Approach for Computer Vision using Graph-based Techniques and Deep Neural Networks
Unsupervised Learning in Space and Time : A Modern Approach for Computer Vision using Graph-based Techniques and Deep Neural Networks
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Hands-On Neural Networks with TensorFlow 2.0 : Understand TensorFlow, from static graph to eager execution, and design neural networks
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 Spectra for Complex Networks
Graph Spectra for Complex Networks
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Graph Learning and Network Science for Natural Language Processing
Graph Learning and Network Science for Natural Language Processing
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Graph Learning and Network Science for Natural Language Processing
Graph Learning and Network Science for Natural Language Processing
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