By learning the relevant features of clinical images along with the relationships between them, the neural network can outperform more traditional methods.

Temporal Knowledge Graph (TKG) representation learning embeds entities and event types into a continuous low-dimensional vector space by integrating the temporal information, which is essential for ...

Graph serialization is a critical aspect of advancing graph-oriented systems and applications. Despite the importance of standardized serialization for property graphs, there is a lack of a universal ...