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Do Similar Entities have Similar Embeddings?

Published on Jun 18, 202454 Views

Nicolas Hubert

Knowledge graph embedding models (KGEMs) developed for link prediction learn vector representations for entities in a knowledge graph, known as embeddings. A common tacit assumption is the KGE entity

ESWC 2024

Related categories

Semantic Web

Chapter list

Do Similar Entities Have Similar Embeddings?00:00
Introduction00:18
Knowledge graph embeddings and link prediction - 100:20
Knowledge graph embeddings and link prediction - 200:34
The KGE entity similarity assumption00:42
Rank-based metrics and entity similarity - 101:44
Rank-based metrics and entity similarity - 201:53
Capturing the notion of similarity02:15
Measuring and quantifying the notion of similarity02:59
Towards a Graph-based Notion of Similarity - 103:06
Towards a Graph-based Notion of Similarity - 203:32
Towards a Graph-based Notion of Similarity - 303:44
Towards a Graph-based Notion of Similarity - 404:00
Towards a Graph-based Notion of Similarity - 504:09
Embedding vs. Graph: a Different Notion of Similarity? - 104:39
Embedding vs. Graph: a Different Notion of Similarity? - 205:04
Embedding vs. Graph: a Different Notion of Similarity? - 305:25
Experiments06:09
Datasets06:12
Models06:24
Results and discussion06:49
Different notions of similarity (RQ1) - 106:53
Different notions of similarity (RQ1) - 207:15
Different notions of similarity (RQ1) - 307:33
Different notions of similarity (RQ1) - 407:37
Different notions of similarity (RQ1) - 507:51
Different notions of similarity (RQ1) - 608:03
Different notions of similarity (RQ1) - 709:01
Different notions of similarity (RQ1) - 809:06
Correlation between rank-based metrics and RBO (RQ2) - 109:14
Correlation between rank-based metrics and RBO (RQ2) - 210:19
Correlation between rank-based metrics and RBO (RQ2) - 310:28
Analyzing predicate importance (RQ3) - 110:34
Analyzing predicate importance (RQ3) - 211:32
Analyzing predicate importance (RQ3) - 311:52
Conclusion12:12
Take-home messages12:14
References12:57
Thank you for your attention12:59