Most of you have used a navigation app like Google Maps for your travels at some point. These apps rely on algorithms that compute shortest paths through vast networks. Now imagine scaling that task ...

This repository is an official PyTorch Implementation for "Harnessing Scale and Physics: A Multi-Graph Neural Operator Framework for PDEs on Arbitrary Geometries". [KDD 2025] ...

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 ...

Google antitrust case shows that the AI Overviews ranking process does not use links as part of the ranking process. A sharp-eyed search marketer discovered the reason why Google’s AI Overviews showed ...

When you log onto LinkedIn, you're normally presented with suggestions to connect with people you know, either because you went to the same university as them, or worked in the same company or ...

The original version of this story appeared in Quanta Magazine. Computer scientists often deal with abstract problems that are hard to comprehend, but an exciting new algorithm matters to anyone who ...

Dynamic (Temporal) graphs capture the valuable evolution of real-world systems, from the continuously evolving patterns of social interactions and genetic pathways to the dynamic fluctuations of ...

Graph theory is an integral component of algorithm design that underlies sparse matrices, relational databases, and networks. Improving the performance of graph algorithms has direct implications to ...

ABSTRACT: This study presents a two-echelon inventory routing problem (2E-IRP) with an end-of-tour replenishment (ETR) policy whose distribution network consists of a supplier, several distribution ...

Issue will be closed if: You mention more than one algorithm. You can create a separate issue for each algorithm once the current one is completed. You propose an algorithm that is already present or ...