Specifications
| Publisher | Springer International Publishing AG; 1st edition |
| ISBN 13 | 9783031004605 |
| ISBN 10 | 3031004604 |
| Author | William L. Hamilton |
| Language | English |
| Book Description | These advances in graph representation learning have led to new state-of-the-art results in numerous domains, including chemical synthesis, 3D vision, recommender systems, question answering, and social network analysis.This book provides a synthesis |
| About the Author | William L. Hamilton is an Assistant Professor of Computer Science at McGill University and a Canada CIFAR Chair in AI. His research focuses on graph representation learning as well as applications in computational social science and biology. In recent years, he has published more than 20 papers on graph representation learning at top-tier venues across machine learning and network science, as well as co-organized several large workshops and tutorials on the topic. Williams work has been recognized by several awards, including the 2018 Arthur L. Samuel Thesis Award for the best doctoral thesis in the Computer Science department at Stanford University and the 2017 Cozzarelli Best Paper Award from the Proceedings of the National Academy of Sciences. |
| Publication Date | 16 September 2020 |
| Number of Pages | 141 pages |
Graph Representation Learning
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