Code for Pseudo-Riemannian Graph Convolutional Networks

Dataset

DOI

This dataset is the official implementation of Pseudo-Riemannian Graph Convolutional Networks in PyTorch, based on HGCN implementation.

This code is used to reproduce the experiments of the paper. Datasets are provided in the /data directly. 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-4340
Metadata Access	https://darus.uni-stuttgart.de/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18419/DARUS-4340

Provenance
Creator	Xiong, Bo ; Zhu, Shichao ; Potyka, Nico ; Pan, Shirui (ORCID: 0000-0003-0794-527X); Zhou, Chuan ; 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/tab-separated-values; text/comma-separated-values; text/plain; charset=US-ASCII; text/markdown; text/plain; application/x-sh
Size	6455; 6419; 5942; 4100; 4099; 4103; 8469; 8434; 8116; 2579; 14337; 1398; 8777; 723418; 145790; 0; 401; 3535; 3330; 3594; 7879; 7776; 9723; 27902; 34949; 5335; 5347; 4225; 7847; 3105; 3115; 2916; 7282; 7298; 8391; 7905; 3027; 2996; 3052; 1375; 511; 515; 370; 854358; 21096; 122432; 1715; 6315; 6245; 6171; 5517; 7086; 7056; 7329; 257305; 47959; 59847; 5000; 148025; 28135; 22119; 4054; 363; 117; 116; 210; 120; 121; 214; 367; 379; 132; 226; 70; 1129; 63; 3142; 3144; 2433; 1067; 2737; 2718; 2676; 1544; 43532; 6200; 6139; 6036; 5023; 62667; 2940; 4222; 11388; 19808; 14358; 21448; 14980; 13638; 14055; 13941; 20918; 4980; 4984; 5005; 6977; 174524; 5253; 5189; 81; 911; 30266; 13456; 309; 5963; 218; 140567; 4975; 7010; 2686; 2696; 3074; 444; 7411; 1740; 195; 10725; 12815; 2460; 59719
Version	1.0
Discipline	Other