Together We Stand: Ensemble of Embeddings via Weight Averaging for Link Prediction

Contains code to reproduce results for the paper "Together We Stand: Ensemble of Embeddings via Weight Averaging for Link Prediction". For the execution of Weight Averaging approaches in Knowledge Graph Embeddings, we utilise the minimal required adaptation of the Dice-Embedding framework (https://github.com/dice-group/dice-embeddings). Download and unzip the files, and the readme will provide steps for installation, code execution and results reproduction. Kindly refer to the newer version.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-01-30
DOI
https://doi.org/10.5281/zenodo.17127596
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
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article

Together We Stand: Ensemble of Embeddings via Weight Averaging for Link Prediction

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

Together We Stand: Ensemble of Embeddings via Weight Averaging for Link Prediction

article en

Abstract

Contains code to reproduce results for the paper "Together We Stand: Ensemble of Embeddings via Weight Averaging for Link Prediction". For the execution of Weight Averaging approaches in Knowledge Graph Embeddings, we utilise the minimal required adaptation of the Dice-Embedding framework (https://github.com/dice-group/dice-embeddings). Download and unzip the files, and the readme will provide steps for installation, code execution and results reproduction. Kindly refer to the newer version.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 98%
Geochemistry and Geologic Mapping
DOIOpen Access PDFOpenAlex
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Together We Stand: Ensemble of Embeddings via Weight Averaging for Link Prediction · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS