分享给好友:
Graph Representation Learning - Synthesis Lectures on Artificial Intelligence and Machine Learning William L. Hamilton
Graph Representation Learning - Synthesis Lectures on Artificial Intelligence and Machine Learning
William L. Hamilton
Provides a synthesis and overview of graph representation learning. The book presents a discussion of the goals of graph representation learning and key methodological foundations in graph theory and network analysis, introduces and reviews methods for learning node embeddings, and provides an and introduction to graph neural network formalism.
159 pages
| 介质类型 | 图书 Paperback Book (平装胶订图书) |
| 已发行 | 2020年9月16日 |
| ISBN13 | 9781681739632 |
| 出版商 | Morgan & Claypool Publishers |
| 页数 | 159 |
| 商品尺寸 | 254 × 176 × 8 mm · 285 g |