1 to 10 of 24 Results
Feb 13, 2025Analytic Computing
Project Website: https://www.ki.uni-stuttgart.de/departments/ac/research/projects/inmotion/ |
Feb 13, 2025Analytic Computing
Project Website: https://www.ki.uni-stuttgart.de/departments/ac/research/projects/ikileus/ |
Jan 8, 2025 - KR-Building (EXC IntCDC)
Glaser, Gabriel Timon, 2025, "Knowledge Graph Generator", https://doi.org/10.18419/DARUS-4436, DaRUS, V1
Code and experiment results for a synthetic knowledge graph generator. The generator receives a set of rules, with an expected body support and support, and returns a knowledge graph that approximately matches the rules according to the body support and confidence. This code was... |
Dec 19, 2024Analytic Computing
Project Website: https://www.ki.uni-stuttgart.de/departments/ac/research/projects/Kr-building/ |
Nov 25, 2024
Gaziev, Georgii, 2024, "Dynamics of Head Pointing Using Static and Dynamic Gains", https://doi.org/10.18419/DARUS-4577, DaRUS, V1, UNF:6:3DnoTrzOzr95W/g7bxpHAg== [fileUNF]
Data was acquired from experiments of the master's thesis "Exploring the dynamics of the head pointing." There were two studies: preliminary and the main study. The task of both was a two-dimensional pointing, as described in ISO 9241-41. Pointing was performed by tracking the he... |
Jul 5, 2024 - KnowGraphs (EU)
Xiong, Bo; Potyka, Nico; Tran, Trung-Kien; Nayyeri, Mojtaba; Staab, Steffen, 2024, "Code for Faithful Embeddings for EL++ Knowledge Bases", https://doi.org/10.18419/DARUS-3989, DaRUS, V1
This is the official pytorch implementation of the paper "Faithful embeddings for EL++ Knowledge Bases" published in ISWC 2022. The code was implemented based on el-embeddings. The code can be used to reproduce the experiments on subsumption reasoning. To execute the code, follow... |
Jul 5, 2024 - KnowGraphs (EU)
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 im... |
Jul 5, 2024 - KnowGraphs (EU)
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 ex... |
Jul 5, 2024 - KnowGraphs (EU)
Xiong, Bo; Nayyeri, Mojtaba; Luo, Linhao; Wang, Zihao; Pan, Shirui; Staab, Steffen, 2024, "Replication Data for NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning (AAAI'24)", https://doi.org/10.18419/DARUS-3978, DaRUS, V1
This code is a PyTorch implementation of the paper "NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning (AAAI'24)". NestE is a knowledge graph embedding method that can encode nested facts represented by quoted triples (h,r,t) in which the subject and objec... |