KnowGraphs (EU)

Project Website: https://www.ki.uni-stuttgart.de/departments/ac/research/projects/knowngraphs/

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31 to 40 of 700 Results

README.md Jul 5, 2024 - Code for Faithful Embeddings for EL++ Knowledge Bases Markdown Text - 1.5 KB - MD5: 3c0bda6729095ab57eee6c06f6118aec
requirements.txt Jul 5, 2024 - Code for Faithful Embeddings for EL++ Knowledge Bases Plain Text - 3.7 KB - MD5: 8a1a70d38d7b0e84fec586790364a3fd
ToyExample.ipynb Jul 5, 2024 - Code for Faithful Embeddings for EL++ Knowledge Bases Jupyter Notebook - 43.0 KB - MD5: 319bf9309e28e32e3f413353a4fd1b4c
yeast-classes-normalized.owl Jul 5, 2024 - Code for Faithful Embeddings for EL++ Knowledge Bases Unknown - 37.7 MB - MD5: e3a65b974d25897b34a7fcebeedccbcd
yeast-plain.nt Jul 5, 2024 - Code for Faithful Embeddings for EL++ Knowledge Bases Unknown - 20.6 MB - MD5: f76abde5460e9f39bf51e0bc80ad7f0b
Code for Shrinking Embeddings for Hyper-relational Knowledge Graphs Jul 5, 2024 Xiong, Bo; Nayyeri, Mojtaba; Pan, Shirui; Staab, Steffen, 2024, "Code for Shrinking Embeddings for Hyper-relational Knowledge Graphs", https://doi.org/10.18419/DARUS-3979, DaRUS, V1 This is a Pytorch implementation of the paper Shrinking Embeddings for Hyper-relational Knowledge Graphs published in ACL'23. This code is used to reproduce the experiments of the method ShrinkE, a geometric embedding approach for hyper-relational knowledge graphs. The code is implemented with Python 3 and pytorch. The code is tested on public data...
clean_datasets.cpython-36.pyc Jul 5, 2024 - Code for Shrinking Embeddings for Hyper-relational Knowledge Graphs Unknown - 5.9 KB - MD5: 69082be4d7ee139e2db773370bff4ab9
clean_datasets.cpython-37.pyc Jul 5, 2024 - Code for Shrinking Embeddings for Hyper-relational Knowledge Graphs Unknown - 5.9 KB - MD5: 1f2f69bf5c26d9265bd569aed7ab4e8c
clean_datasets.py Jul 5, 2024 - Code for Shrinking Embeddings for Hyper-relational Knowledge Graphs Python Source Code - 8.4 KB - MD5: 22e1270c46aa7172d1030eb215aed0d3
corruption.cpython-37.pyc Jul 5, 2024 - Code for Shrinking Embeddings for Hyper-relational Knowledge Graphs Unknown - 6.2 KB - MD5: d3253a9790c4f09fc0817fd115f2c3bc

README.md

Jul 5, 2024 - Code for Faithful Embeddings for EL++ Knowledge Bases

Markdown Text - 1.5 KB -

requirements.txt

Jul 5, 2024 - Code for Faithful Embeddings for EL++ Knowledge Bases

Plain Text - 3.7 KB -

ToyExample.ipynb

Jul 5, 2024 - Code for Faithful Embeddings for EL++ Knowledge Bases

Jupyter Notebook - 43.0 KB -

yeast-classes-normalized.owl

Jul 5, 2024 - Code for Faithful Embeddings for EL++ Knowledge Bases

Unknown - 37.7 MB -

yeast-plain.nt

Jul 5, 2024 - Code for Faithful Embeddings for EL++ Knowledge Bases

Unknown - 20.6 MB -

Code for Shrinking Embeddings for Hyper-relational Knowledge Graphs

Jul 5, 2024

Xiong, Bo; Nayyeri, Mojtaba; Pan, Shirui; Staab, Steffen, 2024, "Code for Shrinking Embeddings for Hyper-relational Knowledge Graphs", https://doi.org/10.18419/DARUS-3979, DaRUS, V1

This is a Pytorch implementation of the paper Shrinking Embeddings for Hyper-relational Knowledge Graphs published in ACL'23. This code is used to reproduce the experiments of the method ShrinkE, a geometric embedding approach for hyper-relational knowledge graphs. The code is implemented with Python 3 and pytorch. The code is tested on public data...

clean_datasets.cpython-36.pyc

Jul 5, 2024 - Code for Shrinking Embeddings for Hyper-relational Knowledge Graphs

Unknown - 5.9 KB -

clean_datasets.cpython-37.pyc

Jul 5, 2024 - Code for Shrinking Embeddings for Hyper-relational Knowledge Graphs

Unknown - 5.9 KB -

clean_datasets.py

Jul 5, 2024 - Code for Shrinking Embeddings for Hyper-relational Knowledge Graphs

Python Source Code - 8.4 KB -

corruption.cpython-37.pyc

Jul 5, 2024 - Code for Shrinking Embeddings for Hyper-relational Knowledge Graphs

Unknown - 6.2 KB -

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