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New Book Explores Knowledge Graph Embeddings as Geometric Operators

By PulseAugur Editorial · [1 sources] ·

A book titled "Knowledge Graph Embeddings as Geometric Operators" by Agus Sudjianto and Wing Yan Lau is being featured on Leanpub. The book explores the idea of viewing various knowledge graph models, such as TransE, ComplEx, and RotatE, as different perspectives of a single geometric operator. It delves into the mathematical foundations, coding implementations, and practical design principles for creating structured memory systems that enhance AI trustworthiness. AI

IMPACT This book offers a novel perspective on knowledge graph models, potentially leading to more robust and trustworthy AI systems through structured memory.

RANK_REASON The item describes a book focused on research in knowledge graph embeddings and their mathematical underpinnings for AI. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New Book Explores Knowledge Graph Embeddings as Geometric Operators

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The item describes a book focused on research in knowledge graph embeddings and their mathematical underpinnings for AI. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Knowledge Graph Embeddings as Geometric Operators by Agus Sudjianto and Wing Yan Lau is the featured book 📖 on Leanpub! What if TransE, ComplEx, RotatE and the

    Knowledge Graph Embeddings as Geometric Operators by Agus Sudjianto and Wing Yan Lau is the featured book 📖 on Leanpub! What if TransE, ComplEx, RotatE and the rest of the knowledge graph “model zoo” were different views of one geometric operator? Learn the mathematics, code and …

    LINKS leanpub.com/KG-Embedding

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