Graph-theoretical (GT) representations, conceptually analogous to chemical formulas, offer a powerful and versatile framework for describing the structure of nanomaterials─including complex assemblies ...

Most natural matrices that incorporate information about a graph are the adjacency and the Laplacian matrices. These algebraic representations govern the fundamental concepts and tools in graph signal ...

To address this issue, this study proposes a network framework that integrates multimodal representations using a multihead attention flow (MulAFNet). MulAFNet utilizes SMILES string representation ...

Article citations More>> Kipf, T.N. and Welling, M. (2017) Semi-Supervised Classification with Graph Convolutional Networks. The 5 th International Conference on Learning Representations, Toulon, ...

The fast-rising pace of attacks is driving a graph database arms race across leading cybersecurity providers.

Data analysts have identified suspicious voting patterns known as the "Russian tail" in Georgia's 2024 parliamentary elections. The anomalies mirror patterns seen in manipulated elections.

Google Cloud has updated its fully managed distributed SQL database service Spanner to add graph processing capabilities, dubbed Spanner Graph. The update is expected to help developers build ...

Advances in Chemical Representations and AI in Drug Discovery: The past century’s technological advancements, especially the computer revolution and high-throughput screening in drug discovery, have ...