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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 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... -
Percentile Intervals in Bayesian Inference are Overconfident
This dataset demonstrates the difference in calculating percentile Intervals as approximation for Highest Density Intervals (HDI) vs. Highest Posterior Density (HPD). This is... -
InteRead
The InteRead dataset is designed to explore the impact of interruptions on reading behavior. It includes eye-tracking data from 50 adults with normal or corrected-to-normal... -
Replication Data for: On the Accurate Estimation of Information-Theoretic Qua...
Non-Parametric Estimation in Information Theory 1. Introduction This is a repository for our paper on: "On the Accurate Estimation of Information-Theoretic Quantities from... -
Data repository for "Minimial-Risk Training Samples for QNN Training from Mea...
Replication code and experiment result data for training Quantum Neural Networks with entangled data using one-dimensional projectors as observables. This is the version of the... -
GALÆXI Validation: Taylor-Green Vortex
This Dataset contains the test case definition and reference data for the Taylor-Green Vortex (TGV) test case which builds the validation test case in the GALÆXI Paper... -
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... -
Replication Data for: Rayleigh invariance allows the estimation of effective ...
This dataset features both data and code related to the research article titled "Rayleigh Invariance Enables Estimation of Effective CO2 Fluxes Resulting from Convective... -
Code for training and using the spray segmentation models
This dataset contains the necessary code for using our spray segmentation model used in the paper, Machine learning based spray process quantification. More information can be... -
Timber Column Slab Solver
This dataset contains an agent-based exploration of the design space for modular slab and column systems. The primary objective is to equip designers with the ability to... -
Replication Code for: Error Analysis of Randomized Symplectic Model Order Red...
This dataset includes the code to reproduce the results from the paper titled "Error Analysis of Randomized Symplectic Model Order Reduction for Hamiltonian systems". In this... -
UNITE Toolbox
UNITE Toolbox Unified diagnostic evaluation of scientific models based on information theory The UNITE Toolbox is a Python library for incorporating Information Theory into data... -
Replication Code for: Greedy Kernel Methods for Approximating Breakthrough Cu...
This dataset includes the code to reproduce the results from the paper titled "Greedy Kernel Methods for Approximating Breakthrough Curves for Reactive Flow from 3D Porous... -
Periodic Trajectories of a Passive One-Legged Hopper
General The one-legged hopper depicted in hooper.png is energetically conservative. The state of the system is given by the horizontal position (x), the vertical position (y),... -
Processes data and code for Dynamics of Lagrangian Sensor Particles
This repository entails the data and Pythoncode for the publication "Dynamics of Lagrangian Sensor Particles: The Effect of Non-Homogeneous Mass Distribution" in the journal... -
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... -
Code for Pseudo-Riemannian Graph Convolutional Networks
This dataset is the official implementation of Pseudo-Riemannian Graph Convolutional Networks in PyTorch, based on HGCN implementation. This code is used to reproduce the... -
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... -
Data for: A systematic DNS approach to isolate wall-curvature effects in spat...
Spanwise [z] and temporal [t] averaged turbulent fields of four direct numerical simulations (DNS) of a turbulent boundary layer (TBL) calculated using the code NS3D. Datasets...