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Data · dataset · 2024

Code for Shrinking Embeddings for Hyper-relational Knowledge Graphs

Listed in DaRUS

This is a Pytorch implementation of the paper Shrinking Embeddings for Hyper-relational Knowledge Graphs published in ACL'23.

Description

This code is used to reproduce the experiments of the method ShrinkE, a geometric embedding approach for hyper-relational knowledge graphs. The code is implemented with Python 3 and pytorch.

The code is tested on public datasets which can be download from StarE. To execute the code, follow the instructions in the README.md file. For more info, please check the paper or feel free to contact the authors for any inquiries.

Links

Where it is published

Catalogue records · 1

Topics

Inferred from text
Artificial intelligence 74%
Provenance · 1 source records, 8 field assertions
SourceKeyLast seenRaw
DaRUSdoi:10.18419/DARUS-39799 d agoJSON v1
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