Dataset - B2FIND

Code for Ultrahyperbolic Knowledge Graph Embeddings

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...

Replication Data for: High-resolution cw laser spectroscopy of long-lived Ryd...

This dataset holds all measurement data, as well as the evaluation and plotting scripts to replicate all figures of the paper. Please refer to the README.md file for more...

GALÆXI Verification: Convergence Tests

This Dataset contains the setup and the results of the convergence tests which are reported in the GALÆXI Paper (Section 5.1). The results are contained in the file...

Code for Faithful Embeddings for EL++ Knowledge Bases

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....

Code for Hyperbolic Embedding Inference for Structured Multi-Label Prediction

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...

Code for Shrinking Embeddings for Hyper-relational Knowledge Graphs

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...

Replication Data for NestE: Modeling Nested Relational Structures for Knowled...

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...

Data for: Transforming Laser-Scanned 750 kW Turbine Surface Geometry Data int...

Note for access: The data is available to anyone interested, but in order to monitor access, we ask that interested users request access by logging in by using the account of...

Replication Data for: A new concept for column-to-column connections for mult...

This repository contains the experimental data of the tests described in the paper, as well as the python scripts used for the analysis of the data. Also, the finite element...

Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for...

Code and documentation for the improved Gaussian Moments Neural Network (GM-NN). An updated version can be found on GitLab Basic instructions for installing and running the...