Knowledge Graph Completion and Its Applications

By Yu Zhao

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.

• Format: Paperback
• Language: English
• ISBN: 6206142302
• ISBN13: 9786206142300
• Release Date: February 2023
• Publisher: LAP Lambert Academic Publishing
• Length: 136 Pages
• Weight: 0.46 lbs.
• Dimensions: 0.3" x 6.0" x 9.0"