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Interpolation? Extrapolation? SPA《Search to Pass Messages for Temporal Knowledge Graph Completion》 #1

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hummingg opened this issue Jan 20, 2024 · 0 comments

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@hummingg
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hummingg commented Jan 20, 2024

Most of SPA's baselines are Interpolation methods.
And in its abstract:

Completing missing facts is a fundamental task for temporal knowledge graphs (TKGs).

So as to《Hierarchical Self-Attention Embedding for Temporal Knowledge Graph Completion》:

Experiments demonstrate that our model achieves better
performance on TKGC interpolation tasks.

I doubt whether CENET is a Graph Neural Network-based TKGC Method.《Temporal Knowledge Graph Reasoning with Historical Contrastive Learning》.

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