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Diachronic Embedding for Temporal Knowledge Graph Completion

AAAI 2020 · Graph learning › Knowledge and temporal graphs · approach: Inductive knowledge graph completion · 386 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Replace static entity representations with diachronic entity embeddings in SimplESimplE · ICEWS14MRR: 0.458 -> 0.526Helped
Replace static entity representations with diachronic entity embeddings in SimplESimplE · ICEWS05-15MRR: 0.478 -> 0.513Helped
Replace static entity representations with diachronic entity embeddings in SimplESimplE · GDELTMRR: 0.206 -> 0.230Helped
Replace sine activation with Tanh (ablation)DE-DistMult · ICEWS14MRR: 0.501 -> 0.486Hurt
Replace sine activation with Sigmoid (ablation)DE-DistMult · ICEWS14MRR: 0.501 -> 0.484Hurt
Replace sine activation with Leaky ReLU (ablation)DE-DistMult · ICEWS14MRR: 0.501 -> 0.478Hurt
Replace sine activation with Squared Exponential (ablation)DE-DistMult · ICEWS14MRR: 0.501 -> 0.501No clear effect
Add diachronic embeddings for relations (ablation)DE-TransE · ICEWS14MRR: 0.326 -> 0.324No clear effect
Add diachronic embeddings for relations (ablation)DE-DistMult · ICEWS14MRR: 0.501 -> 0.502No clear effect
Use diachronic entity embeddings instead of static embeddingsDistMult · ICEWS14 unseen timestampsMRR: 0.410 -> 0.452Helped
Remove learned temporal-feature amplitudes by fixing a to 1 (ablation)DE-DistMult · ICEWS14MRR: 0.501 -> 0.458Hurt
Remove learned temporal-feature frequencies by fixing w to 1 (ablation)DE-DistMult · ICEWS14MRR: 0.501 -> 0.470Hurt

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