Deep Learning on Graphs

✍ Scribed by Yao Ma, Jiliang Tang

Publisher: Cambridge University Press
Year: 2021
Tongue: English
Leaves: 339
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

Deep learning on graphs has become one of the hottest topics in machine learning. The book consists of four parts to best accommodate our readers with diverse backgrounds and purposes of reading. Part 1 introduces basic concepts of graphs and deep learning; Part 2 discusses the most established methods from the basic to advanced settings; Part 3 presents the most typical applications including natural language processing, computer vision, data mining, biochemistry and healthcare; and Part 4 describes advances of methods and applications that tend to be important and promising for future research. The book is self-contained, making it accessible to a broader range of readers including (1) senior undergraduate and graduate students; (2) practitioners and project managers who want to adopt graph neural networks into their products and platforms; and (3) researchers without a computer science background who want to use graph neural networks to advance their disciplines.

📜 SIMILAR VOLUMES

Tutorials on Machine learning & Deep-Le

📁 Tutorials on Machine learning & Deep-Learning

✍ Kirill Eremenko and Hadelin de Ponteves 📂 Library 🌐 English

This Book is form the courses of two professional Data Scientists Kirill Eremenko from SuperDataScience and Hadelin de Ponteves from BlueLife AI. You can get a quick overview on Machine Learning & Deep Learning from this book. Also this book will be the best guide for the Courses of Kirill Erem

Deep Learning on Windows: Building Deep

📁 Deep Learning on Windows: Building Deep Learning Computer Vision Systems on Microsoft Windows

✍ Thimira Amaratunga 📂 Library 📅 2020 🏛 Apress 🌐 English

Intermediate

Deep Learning on Windows: Building Deep

📁 Deep Learning on Windows: Building Deep Learning Computer Vision Systems on Microsoft Windows

✍ Thimira Amaratunga 📂 Library 📅 2021 🏛 Apress 🌐 English

<p><p>Build deep learning and computer vision systems using Python, TensorFlow, Keras, OpenCV, and more, right within the familiar environment of Microsoft Windows. The book starts with an introduction to tools for deep learning and computer vision tasks followed by instructions to install, configur

Deep Reinforcement Learning Hands-On

📁 Deep Reinforcement Learning Hands-On

✍ Lapan 📂 Library 📅 0 🌐 English

Deep Reinforcement Learning Hands-On

📁 Deep Reinforcement Learning Hands-On

✍ Maxim Lapan 📂 Library 📅 2020 🏛 Packt Publishing 🌐 English

Deep Reinforcement Learning Hands-On

📁 Deep Reinforcement Learning Hands-On

✍ Maxim Lapan 📂 Library 📅 2020 🏛 Packt 🌐 English