Abstract: Subgraph matching is challenging as it necessitates time-consuming combinatorial searches. Recent Graph Neural Network (GNN)-based approaches address this issue by employing GNN encoders to ...

Node colors represent different characteristics, with white showing extraneous (unnecessary) nodes. In the conventional method, these extraneous nodes affect necessary ones, leading to incorrect ...

Abstract: Subgraph matching, which involves identifying a query graph within a larger data graph, is a fundamental problem that has applications in various fields. Although graph neural networks (GNNs ...

Thanks for your work on this tool, I've been meaning to use it for a while and have started trying to do some things with graphs/subgraphs. I have a general question about how subgraph positioning ...