Federico Errica
Federico Errica
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Temporal Knowledge Graphs
History repeats itself: A Baseline for Temporal Knowledge Graph Forecasting
We propose a temporal knowledge graph baseline based on the simple principle of recurrency. Surprisingly, a simple approach like this beats state of the art methods based on representation learning on 3 out of 5 commonly used datasets!
Julia Gastinger
,
Christian Meilicke
,
Federico Errica
,
Timo Sztyler
,
Anett Schuelke
,
Heiner Stuckenschmidt
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Paper accepted at IJCAI 2024!!
Did you know a simple recurrency baseline is enough to beat complex state of the art methods for temporal knowledge graph forecasting? Check our upcoming IJCAI paper! Shout out to Julia’s hard work!
Federico Errica
Apr 24, 2024
1 min read
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