Finding all isomorphism pairs in a graph data set. Running classification models. Given proper format of graphs, one can find all graph orbits in a data set efficiently (i.e. groups of graphs that are ...

Abstract: Graph representation learning is a fundamental research theme and can be generalized to benefit multiple downstream tasks from the node and link levels to the higher graph level. In practice ...

ABSTRACT: To effectively evaluate a system that performs operations on UML class diagrams, it is essential to cover a large variety of different types of diagrams. The coverage of the diagram space ...

Abstract: There exists an increasing interest in using graphs to model data, and managing them is a challenging research field. One of the major hurdles in large graph management and processing is our ...

A fundamental challenge in advancing AI research lies in developing systems that can autonomously perform structured reasoning and dynamically expand domain knowledge. Traditional AI models often rely ...

Unified Graph Transformer (UGT) is a novel Graph Transformer model specialised in preserving both local and global graph structures and developed by NS Lab, CUK based on pure PyTorch backend. - GitHub ...

Adding a graph in a spreadsheet is no big deal as long as you know the process. However, do you know that you can make a curved line graph in Excel or Google Sheets? If not, you should check out this ...