Protein complexes play a crucial role in cellular biological processes. Identifying these complexes is essential for understanding cellular functions and biological mechanisms. Graph clustering ...

In this tutorial, we implement a production-grade, large-scale graph analytics pipeline in NetworKit, focusing on speed, memory efficiency, and version-safe APIs in NetworKit 11.2.1. We generate a ...

Estimating the number of triangles in a graph is a fundamental problem and has found applications in many fields. This problem has been widely studied in the context of graph stream processing.

Graph Convolutional Networks (GCNs) are widely applied for spatial domain identification in spatial transcriptomics (ST), where node representations are learned by aggregating information from ...

During Yannis Yortsos’s time as Viterbi dean, he oversaw a period of significant growth and transformation at the engineering school. (Teo Gonzales / Daily Trojan file photo) Yannis Yortsos and ...

He open-sourced Twitter’s algorithm back in 2023, but then never updated the GitHub. He open-sourced Twitter’s algorithm back in 2023, but then never updated the GitHub. is the Verge’s weekend editor.

Abstract: This paper proposes a novel Viterbi-Like successive cancellation (VL-SC) decoding algorithm for polar codes. The algorithm employs the bit log-likelihood-ratio as the “penalty value” within ...

ABSTRACT: A new nano-based architectural design of multiple-stream convolutional homeomorphic error-control coding will be conducted, and a corresponding hierarchical implementation of important class ...

ABSTRACT: A new nano-based architectural design of multiple-stream convolutional homeomorphic error-control coding will be conducted, and a corresponding hierarchical implementation of important class ...

Modern C++17 Hidden Markov Model library with smart pointer memory management, comprehensive training algorithms, and critical bug fixes. Features Viterbi training, multiple probability distributions, ...