KnowGraphs (EU)

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

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71 to 80 of 700 Results

README.md Jul 5, 2024 - Code for Shrinking Embeddings for Hyper-relational Knowledge Graphs Markdown Text - 656 B - MD5: 70bc09d90a6ad9cbbaa00f49b1202df3
requirements.txt Jul 5, 2024 - Code for Shrinking Embeddings for Hyper-relational Knowledge Graphs Plain Text - 113 B - MD5: 34c19b2f6584a66548d9a9752a074e05
run.py Jul 5, 2024 - Code for Shrinking Embeddings for Hyper-relational Knowledge Graphs Python Source Code - 12.9 KB - MD5: 8d8de50a4b06e148c6e4b59b18724050
sampler.cpython-37.pyc Jul 5, 2024 - Code for Shrinking Embeddings for Hyper-relational Knowledge Graphs Unknown - 3.8 KB - MD5: b0970bb2e676eb4b24c0a2df480800bf
sampler.py Jul 5, 2024 - Code for Shrinking Embeddings for Hyper-relational Knowledge Graphs Python Source Code - 3.4 KB - MD5: 5b11e0188ee3245b3f519915e13c039d
utils_gcn.py Jul 5, 2024 - Code for Shrinking Embeddings for Hyper-relational Knowledge Graphs Python Source Code - 6.8 KB - MD5: 867af2a3917d3ee8a50920e7b6ee1337
utils_mytorch.py Jul 5, 2024 - Code for Shrinking Embeddings for Hyper-relational Knowledge Graphs Python Source Code - 9.5 KB - MD5: 93c38c77dd14bdde3dd406040451d79f
utils.py Jul 5, 2024 - Code for Shrinking Embeddings for Hyper-relational Knowledge Graphs Python Source Code - 2.0 KB - MD5: 6152755cc17abfd2ee40d1b4e9812eea
Code for Hyperbolic Embedding Inference for Structured Multi-Label Prediction Jul 5, 2024 Xiong, Bo; Nayyeri, Mojtaba; Cochez, Michael; Staab, Steffen, 2024, "Code for Hyperbolic Embedding Inference for Structured Multi-Label Prediction", https://doi.org/10.18419/DARUS-3988, DaRUS, V1 This is a PyTorch implementation of the paper Hyperbolic Embedding Inference for Structured Multi-Label Prediction published in NeurIPS 2022. 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 mor...
algos.py Jul 5, 2024 - Code for Hyperbolic Embedding Inference for Structured Multi-Label Prediction Python Source Code - 28.0 KB - MD5: f19542fc26a4940d6e665ffeaa548b91

README.md

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

Markdown Text - 656 B -

requirements.txt

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

Plain Text - 113 B -

run.py

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

Python Source Code - 12.9 KB -

sampler.cpython-37.pyc

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

Unknown - 3.8 KB -

sampler.py

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

Python Source Code - 3.4 KB -

utils_gcn.py

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

Python Source Code - 6.8 KB -

utils_mytorch.py

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

Python Source Code - 9.5 KB -

utils.py

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

Python Source Code - 2.0 KB -

Code for Hyperbolic Embedding Inference for Structured Multi-Label Prediction

Jul 5, 2024

Xiong, Bo; Nayyeri, Mojtaba; Cochez, Michael; Staab, Steffen, 2024, "Code for Hyperbolic Embedding Inference for Structured Multi-Label Prediction", https://doi.org/10.18419/DARUS-3988, DaRUS, V1

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

algos.py

Jul 5, 2024 - Code for Hyperbolic Embedding Inference for Structured Multi-Label Prediction

Python Source Code - 28.0 KB -

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