SABET-QA: Temporal Knowledge Graph Question Answering
Question Answering over Temporal Knowledge Graphs (TKGQA) requires reasoning over time-sensitive facts, yet existing embedding-based methods struggle with multi-step queries due to single-pass reasoning pipelines. We propose SABET-QA, a framework that iteratively refines reasoning states across multiple hops via a bidirectional entity-temporal scoring mechanism and a slot-aware contextualization module that aligns question semantics with temporal KG embeddings. A differentiable working memory enables progressive hypothesis refinement, while auxiliary temporal boundaries serve as coarse supervi
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- LinkedLinked via arxiv author · 85%Brahim Touayouch →
“SABET-QA: Temporal Knowledge Graph Question Answering”
- LinkedLinked via arxiv author · 85%Mirette Moawad →
“SABET-QA: Temporal Knowledge Graph Question Answering”
- LinkedLinked via arxiv author · 85%Dmitry Akulov →
“SABET-QA: Temporal Knowledge Graph Question Answering”
- FuzzySimilar title/name (fuzzy) · 59%tirth8205/code-review-graph →
“Fuzzy title match (0.73): “SABET-QA: Temporal Knowledge Graph Question Answering” ≈ “tirth8205/code-review-graph””