473 datasets found

We explored the potential of audiovisual semiotics, the use of audiovisual channels, to enhance users' intuitive perception of uncertainty by conducting two user studies. In the...

This dataset is composed of Sentinel-1 and Sentinel-2 data of several areas of the Brazilian Cerrado for the development of supervised deep learning algorithms on SAR-optical...

This data collection contains additional data related to Graf et al.: "Investigation and design of the dual specificity of the PRDM9 protein lysine methyltransferase". This...

Simulation Results of a Finite Element Discbrake This dataset contains simulation results from a finite element (FE) model of a heated disc brake, represented in two...

Supplementary material used and produced to develop SEAMPL tool. SEAMPL is a user-friendly web interface that aim to help stakeholders to consider the environmental dimension...

This dataset includes files and data to reproduce the figures of "Spin-1 Haldane phase in a chain of Rydberg atoms". The plot_data directory contains all raw data, which are...

Hybrid Models for Hydrology This repository contains code for the paper "When physics gets in the way: an entropy-based evaluation of conceptual constraints in hybrid...

Simulations and data analysis scripts for the publication "Calculation of 1H-NMR relaxation rates from a model united-atom alkanes using reverse coarse-graining". Within...

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...

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...

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...

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....

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...

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...

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...

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...

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 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...

MassiveFold data generated for CASP16, in collaboration with CAPRI . 8040 predictions were generated for the target = 1005 x 8 sets of parameters. - a description of the setup...

MassiveFold data generated for CASP16, in collaboration with CAPRI . 8040 predictions were generated for the target = 1005 x 8 sets of parameters. - a description of the setup...