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Beschreibung
Knowledge Graphs (KGs) attract increasing interest in research in various KG-driven AI-related fields, such as question answering, information recommendation, dialogue, etc. KGs are effective well-structural relational databases for knowledge acquisition. This book presents our research and developments on knowledge graph learning and its applications. Specifically, we mainly focus on: 1) knowledge graph completion, including entity and relation prediction, and entity typing, and 2) the KG applications, including its utilization in fine-grained entity typing, and stock movement prediction.
Details
| Verlag | LAP LAMBERT Academic Publishing |
| Ersterscheinung | 10. Februar 2023 |
| Maße | 22 cm x 15 cm x 0.9 cm |
| Gewicht | 221 Gramm |
| Format | Softcover |
| ISBN-13 | 9786206142300 |
| Seiten | 136 |
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