Code for Ultrahyperbolic Knowledge Graph Embeddings

Dataset

DOI

This is a Pytorch implementation of the paper Ultrahyperbolic Knowledge Graph Embeddings published in KDD 2022. This code is used to reproduce the experiments of the method UltraE, a geometric embedding approach for knowledge graph embeddings. The code is tested on public datasets which can be downloaded from KGEmb. 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.

Further information can be found in the README.md.

Identifier
DOI	https://doi.org/10.18419/darus-4342
Related Identifier	IsCitedBy https://doi.org/10.1145/3534678.3539333
Metadata Access	https://darus.uni-stuttgart.de/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18419/darus-4342

Provenance
Creator	Xiong, Bo ; Zhu, Shichao ; Nayyeri, Mojtaba ; Xu, Chengjin ; Pan, Shirui (ORCID: 0000-0003-0794-527X); Staab, Steffen
Publisher	DaRUS
Contributor	Xiong, Bo; Staab, Steffen
Publication Year	2024
Funding Reference	European Commission info:eu-repo/grantAgreement/EC/H2020/860801
Rights	info:eu-repo/semantics/openAccess
OpenAccess	true
Contact	Xiong, Bo (Universität Stuttgart); Staab, Steffen (Universität Stuttgart)

Representation
Resource Type	Dataset
Format	application/octet-stream; text/x-python; text/plain; text/markdown; application/x-sh
Size	4104; 4103; 2579; 2349; 2293; 2016; 5701; 5413; 124; 210; 226; 214; 128; 75; 0; 18500; 18746; 2740; 1889; 10107; 8893; 14017; 2745; 2726; 1544; 1951; 1955; 1526; 1659; 4289365; 7636; 8848; 19808; 19210; 21448; 20918; 3755; 3759; 6456; 1556; 25073; 3521; 3525; 5251; 294; 337; 7125; 5415; 4692; 113180; 1519499; 2107; 2056; 3135377; 21277292; 18313; 10686; 16281; 10627; 21940; 22393; 21672; 19897; 15194; 20412; 18928; 20216; 7938; 10595; 2394; 1752; 1303101; 110415
Version	1.0
Discipline	Other