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 Foundation Model

Abstract: Hypergraph neural networks (HGNNs) effectively model complex high-order relationships in domains like protein interactions and social networks by connecting multiple vertices through ...
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

This is the official implementation of our paper Hypergraph Transformer for Skeleton-based Action Recognition.

Remark: Comparing computation budget under the same setting (1 Tesla V100-32GB, 64 batch size, etc.) on NTU RGB+D 60 Cross-Subject Benchmark. *EfficientNet-B4 requires 4 times higher temporal ...