This study proposes LiP-LLM: integrating linear programming and dependency graph with large language models (LLMs) for multi-robot task planning. For multi-robots to efficiently perform tasks, it is ...

Learn how to apply, practice, and enhance the graphical method of linear programming with tips and tricks for instructors and students.

We describe an emerging paradigm for the design of efficient algorithms for massive graphs. This paradigm, which we will refer to as the Laplacian Paradigm, is built on a recent suite of nearly-linear ...

Graph processing at hyperscale has historically been a challenge because of the sheer complexity of algorithms and graph workflows. Alibaba has been tackling this issue via a project called GraphScope ...

Diet models based on goal programming (GP) are valuable tools in designing diets that comply with nutritional, palatability and cost constraints.

This repository is an implementation of the paper entitled "On Representing Mixed-Integer Linear Programs by Graph Neural Networks." (ICLR 2023) The paper can be found here. Our codes are modified ...