Embedding Knowledge Graphs with RDF2vec 1st Edition by Heiko Paulheim, Petar Ristoski, Jan Portisch – Ebook PDF Instant Download/Delivery: 3031303873, 9783031303876
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Product details:
ISBN 10: 3031303873
ISBN 13: 9783031303876
Author: Heiko Paulheim, Petar Ristoski, Jan Portisch
Embedding Knowledge Graphs with RDF2vec 1st Edition: This book explains the ideas behind one of the most well-known methods for knowledge graph embedding of transformations to compute vector representations from a graph, known as RDF2vec. The authors describe its usage in practice, from reusing pre-trained knowledge graph embeddings to training tailored vectors for a knowledge graph at hand. They also demonstrate different extensions of RDF2vec and how they affect not only the downstream performance, but also the expressivity of the resulting vector representation, and analyze the resulting vector spaces and the semantic properties they encode.
Embedding Knowledge Graphs with RDF2vec 1st Edition Table of contents:
1. Introduction
2. From Word Embeddings to Knowledge Graph Embeddings
3. Benchmarking Knowledge Graph Embeddings
4. Tweaking RDF2vec
5. RDF2vec at Scale
6. Link Prediction in Knowledge Graphs (and its Relation to RDF2vec)
7. Example Applications Beyond Node Classification
8. Future Directions for RDF2vec
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Heiko Paulheim,Petar Ristoski,Jan Portisch,Embedding,Knowledge,Graphs,RDF2vec