Constarium
← Search

Data · dataset · 2024

Code for Hyperbolic Embedding Inference for Structured Multi-Label Prediction

Listed in DaRUS

This is a PyTorch implementation of the paper Hyperbolic Embedding Inference for Structured Multi-Label Prediction published in NeurIPS 2022.

Description

The code provides the Python scripts to reproduce the experiments in the paper, as well as a proof-of-concept example of the method. To execute the code, follow the instructions in the README.md file.

For more info, please check the paper. Please have no hesitation to contact the authors for any inquiries.

Links

Where it is published

Catalogue records · 1

Topics

Inferred from text
Machine learning 71%
Provenance · 1 source records, 8 field assertions
SourceKeyLast seenRaw
DaRUSdoi:10.18419/DARUS-39889 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:group:4611enrichment · darus uni stuttgart detaxonomy-embedding@1.1.0title+keywords+description (71%)
concepts[field].dataverse_subject:computer-and-information-sciencesource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0/subjects
created_datesource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0
descriptionsource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0/description
publication_datesource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0
titlesource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0/name
updated_datesource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0
version_labelsource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0