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 ...

Presenting OpenGraph, a foundation graph model distilling zero-shot graph generalizability from LLMs. To achieve this goal, OpenGraph addresses several key technical challenges: We propose a unified ...

Graph Data Augmentation for Node Classification Abstract: In recent years, Graph Neural Networks (GNNs) have emerged as powerful techniques for graph-structure data, which are essential for a wide ...

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 ...