Knowledge Graph Completion and Its Applications

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.