IEEE

Finding the isomorphic graph with the use of algorithms based on DNA

Abstract: Finding the isomorphic graph is the problem that have algorithms with the complexity time. For this in general, because of classification for algorithms time complexity, this solution stay ...
IEEE

Balanced and Discrete Multi-View Clustering With Adaptive Graph Learning

Abstract: Graph-based methods have demonstrated strong performance in multi-view clustering (MVC) due to their capability to capture complex data structures. Among these, discrete spectral embedding ...
GitHub

Easing the Injectivity Bottleneck on Lorentzian Manifolds for GNNs(Original title LGIN)

Official code of our paper accpted at ACM SIGMOD 2025 GRADES NDA Workshop. The preprint can be found here. Click here to go to the workshop page. While graph neural networks (GNNs) operating in ...
GitHub

Kokkos C++ Performance Portability Programming EcoSystem: Math Kernels - Provides BLAS, Sparse BLAS and Graph Kernels

KokkosKernels implements local computational kernels for linear algebra and graph operations, using the Kokkos shared-memory parallel programming model. "Local" means not using MPI, or running within ...