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eSPARQL Implementation
This project contains the code of an implementation of the eSPARQL language, which extends SPARQL-star with a `FROM BELIEF` that allows an easy formulation of epistemic queries.... -
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... -
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 and Data for: Better by default: Strong pre-tuned MLPs and boosted trees...
This dataset contains code and data for our paper "Better by default: Strong pre-tuned MLPs and boosted trees on tabular data". The main code is provided in pytabkit_code.zip... -
Datasets: 100 Heat Pumps + Synthetic Permeability Fields, Simulation - Raw, 3...
This data set serves as training and testing data for modelling the temperature field emanating from open loop groundwater heat pumps (100, randomly placed). It is simulated... -
Raw Simulation Datasets for Extending Heat Plumes
These data sets serve as training and testing data for modelling the extension of temperature field emanating from one groundwater heat pump. There are simulated with Pflotran... -
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... -
ABxM.Core: The Core Libraries of the ABxM Framework
The ABxM.Core consists of the agent core library ABxM.Core and an interoperability library for Rhino 7 and later versions. ABxM.Core implements the functionality specific to... -
Knowledge-Enhanced Neural Networks for Machine Reading Comprehension [Source ...
Machine Reading Comprehension is a language understanding task where a system is expected to read a given passage of text and typically answer questions about it. When humans... -
FeReRe: Feedback Requirements Relation using Large Language Models [data]
This dataset consists of 3 parts: The "related_work.bib" contains citations for the Related Work section of the paper. The "ChatGPTPrompts.xlsx" contains a list of all prompt... -
Automating Feedback Analysis to Support Requirements Relation and Usage Under...
Contains all relevant data for the dissertation "Automating Feedback Analysis to Support Requirements Relation and Usage Understanding". ReadMe are provided for each section of... -
DeformedTissue Dataset
Tissue deformation is a critical issue in soft-tissue surgery, particularly during tumor resection, as it causes landmark displacement, complicating tissue orientation. The... -
ABxM.Core: The Core Libraries of the ABxM Framework
The ABxM.Core consists of the agent core library ABxM.Core and an interoperability library for Rhino 6 and later versions. ABxM.Core implements the functionality specific to... -
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... -
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... -
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... -
Raw Simulation Datasets for Extending Heat Plumes
These data sets serve as training and testing data for modelling the extension of temperature field emanating from one groundwater heat pump. There are simulated with Pflotran... -
Datasets: 100 Heat Pumps, Simulation - Raw, 3+1 Data Points
This data set serves as training data for modeling the temperature field emanating from several open loop groundwater heat pumps (one hundred heat pumps, randomly placed). It is... -
Code and Data for: Better by default: Strong pre-tuned MLPs and boosted trees...
This dataset contains code and data for our paper "Better by default: Strong pre-tuned MLPs and boosted trees on tabular data". The main code is provided in pytabkit_code.zip... -
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...