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Graph Representation Learning - Synthesis Lectures on Artificial Intelligence and Machine Learning William L. Hamilton
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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
| Médias | Livres Paperback Book (Livre avec couverture souple et dos collé) |
| Validé | 16 septembre 2020 |
| ISBN13 | 9781681739632 |
| Éditeurs | Morgan & Claypool Publishers |
| Pages | 159 |
| Dimensions | 254 × 176 × 8 mm · 285 g |
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