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Yunjie He

2 accepted papers

2025

Conformalized Answer Set Prediction for Knowledge Graph Embedding

NAACL 2025long

Knowledge graph embeddings (KGE) apply machine learning methods on knowledge graphs (KGs) to provide non-classical reasoning capabilities based on similarities and analogies. The learned KG embeddings are typically used to answer queries by ranking all potential answers, but rankings often lack a me…

Cited by 4SourcePDFScholar
2024

Predictive Multiplicity of Knowledge Graph Embeddings in Link Prediction

EMNLP 2024finding

Knowledge graph embedding (KGE) models are often used to predict missing links for knowledge graphs (KGs). However, multiple KG embeddings can perform almost equally well for link prediction yet give conflicting predictions for unseen queries. This phenomenon is termed predictive multiplicity in the…

Cited by 1SourcePDFScholar