most citedMEKER: Memory Efficient Knowledge Embedding Representation for Link Prediction and Question Answering

2 citations · 2 across the 1 of their papers we have counts for

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cs.CL2022★ 2 cited

MEKER: Memory Efficient Knowledge Embedding Representation for Link Prediction and Question Answering

Viktoriia Chekalina, Anton Razzhigaev, Albert Sayapin +2

Knowledge Graphs (KGs) are symbolically structured storages of facts. The KG embedding contains concise data used in NLP tasks requiring implicit information about the real world.…