Papers with denoised embedding

1 papers
Negative-Aware Diffusion Process for Temporal Knowledge Graph Extrapolation (2026.findings-eacl)

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Challenge: Temporal Knowledge Graphs (TKGs) are dynamic structures representing entities and their evolving relationships through time.
Approach: They propose a non-parametric model that encodes subject-centric histories into sequential embeddings.
Outcome: The proposed model encodes subject-centric histories of entities, relations and temporal intervals into sequential embeddings.

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