As an important kind of NOSQL databases, graph database management systems (GDBMSs) have improved greatly in recent years. However, the development of related linked queries is still limited. This ...

Our proposed framework (Figure 1) embeds protein sequences using ESM-2 and converts predicted structures into Node2Vec-encoded contact graphs. (24) These representations are processed via dual ...

Trusting an algorithmic decision is much easier if it is understood how it was achieved. Therefore, data mining algorithms with explainable abilities are preferred over complex models for critical ...

The fundamental principle is to explore the latent structure of the data by representing it in a graph-signal space. Unlike deep learning approaches requiring external training data, our algorithm ...