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 ...
A paper posted online in March 2023 has presented the first substantial progress in a half-century on one of the fundamental questions in the overlap between mathematics and computer science: how to ...
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 ...
The presence of urinary isomorphic red blood cells (RBCs) at diagnosis may predict poor renal outcomes and severe clinical manifestations in patients with antineutrophil cytoplasm antibody ...
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