Google's Universal Commerce Protocol isn't just an API, it's infrastructure for AI-native shopping. Learn why major retailers ...

Stephen F. O’Byrne, the President of Shareholder Value Advisors Inc., examines his intriguing research related to improved ...

Abstract: Graph matching, as an important query technology, has been widely applied in various fields. With the increasing of graph data, users choose to encrypt a large number of graphs and store ...

Graph Edit Distance (GED) is a classical graph similarity metric. Since exact GED computation is NP-hard, existing GNN-based methods try to approximate GED in polynomial time. However, they still lack ...

Abstract: Classical graph matching aims to find a node correspondence between two unlabeled graphs of known topologies. This problem has a wide range of applications, from matching identities in ...

The biomedical domain requires experts and information systems to have a common understanding of terms and concepts used during the exchange of information. Ontologies are a common way to describe ...

SUMIF, SUMIFS, AVERAGEIFS, and COUNTIFS are commonly used accounting functions in Microsoft Excel. These formulas are used to calculate cell values based on the criteria you have described or ...

The ability to handle large scale graph data is crucial to an increasing number of applications. Much work has been dedicated to supporting basic graph operations such as subgraph matching, ...