KnowGraphs (EU)

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

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621 to 630 of 700 Results

valid2id.txt Jul 5, 2024 - Replication Data for NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning (AAAI'24) Plain Text - 7.6 KB - MD5: 438000e49ec934d7f86bc4e1274bec8b
valid2id.txt Jul 5, 2024 - Replication Data for NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning (AAAI'24) Plain Text - 7.6 KB - MD5: 438000e49ec934d7f86bc4e1274bec8b
valid2id.txt Jul 5, 2024 - Replication Data for NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning (AAAI'24) Plain Text - 1.7 KB - MD5: 85f3ea7b3d2906bcb2d5d46a24fe87c4
valid2id.txt Jul 5, 2024 - Replication Data for NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning (AAAI'24) Plain Text - 7.6 KB - MD5: 438000e49ec934d7f86bc4e1274bec8b
valid2id.txt Jul 5, 2024 - Replication Data for NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning (AAAI'24) Plain Text - 7.6 KB - MD5: 438000e49ec934d7f86bc4e1274bec8b
Code for Ultrahyperbolic Knowledge Graph Embeddings Jul 5, 2024 Xiong, Bo; Zhu, Shichao; Nayyeri, Mojtaba; Xu, Chengjin; Pan, Shirui; Staab, Steffen, 2024, "Code for Ultrahyperbolic Knowledge Graph Embeddings", https://doi.org/10.18419/DARUS-4342, DaRUS, V1 This is a Pytorch implementation of the paper Ultrahyperbolic Knowledge Graph Embeddings published in KDD 2022. This code is used to reproduce the experiments of the method UltraE, a geometric embedding approach for knowledge graph embeddings. The code is tested on public datasets which can be downloaded from KGEmb. To execute the code, follow the...
base.cpython-36.pyc Jul 5, 2024 - Code for Ultrahyperbolic Knowledge Graph Embeddings Unknown - 4.0 KB - MD5: 7e1e4be233f29e6a9f969da49ce2ae97
base.cpython-37.pyc Jul 5, 2024 - Code for Ultrahyperbolic Knowledge Graph Embeddings Unknown - 4.0 KB - MD5: a8416b8c7606c70f69ad6f447ae2e8e3
base.py Jul 5, 2024 - Code for Ultrahyperbolic Knowledge Graph Embeddings Python Source Code - 2.5 KB - MD5: c962417099c6cd7f62d25dcc0cb79a25
euclidean.cpython-36.pyc Jul 5, 2024 - Code for Ultrahyperbolic Knowledge Graph Embeddings Unknown - 2.3 KB - MD5: 18071e34156387d64cb93f03bd6fde1a

valid2id.txt

Jul 5, 2024 - Replication Data for NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning (AAAI'24)

Plain Text - 7.6 KB -

valid2id.txt

Jul 5, 2024 - Replication Data for NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning (AAAI'24)

Plain Text - 7.6 KB -

valid2id.txt

Jul 5, 2024 - Replication Data for NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning (AAAI'24)

Plain Text - 1.7 KB -

valid2id.txt

Jul 5, 2024 - Replication Data for NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning (AAAI'24)

Plain Text - 7.6 KB -

valid2id.txt

Jul 5, 2024 - Replication Data for NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning (AAAI'24)

Plain Text - 7.6 KB -

Code for Ultrahyperbolic Knowledge Graph Embeddings

Jul 5, 2024

Xiong, Bo; Zhu, Shichao; Nayyeri, Mojtaba; Xu, Chengjin; Pan, Shirui; Staab, Steffen, 2024, "Code for Ultrahyperbolic Knowledge Graph Embeddings", https://doi.org/10.18419/DARUS-4342, DaRUS, V1

This is a Pytorch implementation of the paper Ultrahyperbolic Knowledge Graph Embeddings published in KDD 2022. This code is used to reproduce the experiments of the method UltraE, a geometric embedding approach for knowledge graph embeddings. The code is tested on public datasets which can be downloaded from KGEmb. To execute the code, follow the...

base.cpython-36.pyc

Jul 5, 2024 - Code for Ultrahyperbolic Knowledge Graph Embeddings

Unknown - 4.0 KB -

base.cpython-37.pyc

Jul 5, 2024 - Code for Ultrahyperbolic Knowledge Graph Embeddings

Unknown - 4.0 KB -

base.py

Jul 5, 2024 - Code for Ultrahyperbolic Knowledge Graph Embeddings

Python Source Code - 2.5 KB -

euclidean.cpython-36.pyc

Jul 5, 2024 - Code for Ultrahyperbolic Knowledge Graph Embeddings

Unknown - 2.3 KB -

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