Graph theory and combinatorial optimization are two interconnected fields of mathematics that focus on the study of graphs and the optimization of combinatorial structures. Graphs are mathematical ...

Graph optimization problems are a significant area of study in computer science and mathematics, focusing on finding the best solution from a set of possible solutions represented as graphs.

Understanding potential pitfalls—and how to overcome them—can help organizations maximize the value of this technology.

Recently, factor graphs have evolved beyond their probabilistic origins and are also being applied to deterministic optimization problems, such as robotic planning and control. This paper first aims ...

CMO is an unifying schema to integrate metadata from these diverse sources to construct AI pipeline Metadata Knowledge Graph (AIMKG) that enables search and recommendation of relevant AI pipelines for ...

MRO occupies a unique position within the supply chain ecosystem, often called the "Supply Chain Triangle," where technology, ...

and Optimization by Prompting. We evaluate these six prompting methods on the newly created Spider4SPARQL benchmark, as it is the most complex SPARQL-based Knowledge Graph Question Answering (KGQA) ...

Yandex introduces Perforator, a tool that can identify and evaluate code inefficiencies across a company’s entire code ...

We open-source the source code and experiment dataset of a novel Real-time Kinematic positioning architecture with Enhanced Velocity Constraints (RTK-EVC) via Factor Graph Optimization in ...

Java: for core logic implementation. JavaFX: for GUI development and visualization. Dijkstra's Algorithm: for pathfinding and route optimization. Graph Data Structures: for representing the network ...