Do Similar Entities have Similar Embeddings?

arXiv:2312.10370v2 Announce Type: replace-cross
Abstract: 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 similarity assumption, which states that these KGEMs retain the graph's structure within their embedding space, \textit{i.e.}, position similar entities within the graph close to one another. This desirable property make KGEMs widely used in downstream tasks such as recommender systems or drug repurposing. Yet, the relation …

arxiv cs.ai cs.ir cs.lg embeddings type