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 ...

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 ...

Isomorphic Labs is a spinoff of the London-based artificial intelligence lab DeepMind. By Cade Metz Google’s parent company, Alphabet, is launching an operation dedicated to drug discovery. The new ...