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{ "item_title" : "Knowledge Graph Completion and Its Applications", "item_author" : [" Yu Zhao "], "item_description" : "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.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/6/20/614/230/6206142302_b.jpg", "price_data" : { "retail_price" : "73.00", "online_price" : "73.00", "our_price" : "73.00", "club_price" : "73.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Knowledge Graph Completion and Its Applications|Yu Zhao

Knowledge Graph Completion and Its Applications

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Overview

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.

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Details

  • ISBN-13: 9786206142300
  • ISBN-10: 6206142302
  • Publisher: LAP Lambert Academic Publishing
  • Publish Date: February 2023
  • Dimensions: 9 x 6 x 0.32 inches
  • Shipping Weight: 0.46 pounds
  • Page Count: 136

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