Standardized higher-order datasets with corresponding datasheets
-
Updated
Aug 3, 2024 - Python
Standardized higher-order datasets with corresponding datasheets
Python package for hypergraph analysis and visualization.
Amr's Portfolio is a showcase of my journey as a web developer, highlighting skills, projects, and experiences. Built with Next.js, Tailwind CSS, Shadcn, and powered by Hypergraph for data management, this portfolio combines sleek design with powerful functionality to present my work in an engaging and professional manner.
[SIGIR 2024] NFARec: A Negative Feedback-Aware Recommender Model.
Official implementation of TACCO (Task-guided Co-clustering).
parag🎆Interactive visualization of higher-order graphs in Python
Mt-KaHyPar (Multi-Threaded Karlsruhe Hypergraph Partitioner) is a shared-memory multilevel graph and hypergraph partitioner equipped with parallel implementations of techniques used in the best sequential partitioning algorithms. Mt-KaHyPar can partition extremely large hypergraphs very fast and with high quality.
C++/Wolfram Language package for exploring set and graph rewriting systems
A system for programming with diagrams
Hypergraph is data structure library to create a directed hypergraph in which a hyperedge can join any number of vertices.
Welcome to the official repository of KHG-Aclair
[AAAI 2023] Official resources of "DHGE: Dual-view Hyper-Relational Knowledge Graph Embedding for Link Prediction and Entity Typing".
Text2NKG: Fine-Grained N-ary Relation Extraction for N-ary relational Knowledge Graph Construction
Use hypergraphs to create foodweb models which include non-trophic effects
The jBPT code library is a compendium of technologies that support research on design, execution, and evaluation of business processes. The library offers a broad range of basis analysis and utility functionality and, due to its open publishing model, can easily be extended.
A performant, parallel, probabilistic, random acyclic-graph, low-latency, perfect hash generation library.
[ECCV 2024]Temporary code for "Ad-HGformer: An Adaptive HyperGraph Transformer for Skeletal Action Recognition"
KaHyPar (Karlsruhe Hypergraph Partitioning) is a multilevel hypergraph partitioning framework providing direct k-way and recursive bisection based partitioning algorithms that compute solutions of very high quality.
Add a description, image, and links to the hypergraph topic page so that developers can more easily learn about it.
To associate your repository with the hypergraph topic, visit your repo's landing page and select "manage topics."