TheServerSide

Full Git and GitHub tutorial for beginners

Git isn't hard to learn, and when you combine Git and GitHub, you've just made the learning process significantly easier. This two-hour Git and GitHub video tutorial shows you how to get started with ...
IEEE

T-HyperGNNs: Hypergraph Neural Networks via Tensor Representations

Abstract: Hypergraph neural networks (HyperGNNs) are a family of deep neural networks designed to perform inference on hypergraphs. HyperGNNs follow either a spectral or a spatial approach, in which a ...
IEEE

Hypergraph-Induced Convolutional Networks for Visual Classification

Abstract: At present, convolutional neural networks (CNNs) have become popular in visual classification tasks because of their superior performance. However, CNN-based methods do not consider the ...
GitHub

Mt-KaHyPar - Multi-Threaded Karlsruhe Graph and Hypergraph Partitioner

Mt-KaHyPar is a shared-memory algorithm for partitioning graphs and hypergraphs. The balanced (hyper)graph partitioning problem asks for a partition of the node set of a (hyper)graph into k disjoint ...
GitHub

NumPy tutorials

For the rendered tutorials, see https://numpy.org/numpy-tutorials/. The goal of this repository is to provide high-quality resources by the NumPy project, both for ...