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Data · dataset · 2024

Code for Pseudo-Riemannian Graph Convolutional Networks

Listed in DaRUS

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

Description

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.

Links

Where it is published

Catalogue records · 1

Topics

Inferred from text
Machine learning 73%
Provenance · 1 source records, 8 field assertions
SourceKeyLast seenRaw
DaRUSdoi:10.18419/DARUS-434010 d agoJSON v1
FieldAssertionExtractorEvidence
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created_datesource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0
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version_labelsource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0