Graphs, visual representations outlining the relationships between different entities, concepts or variables, can be very ...

I have attached to this ticket a WIT file that describes a generic interface for graph database operations. This interface can be implemented by various providers, either by emulating features not ...

It encourages our method to obtain a robust representation graph of the data. On the other hand, the manifold regularization is introduced to capture the geometric structure of the data so that the ...

Abstract: Contrastive loss and its variants are very popular for visual representation learning in an unsupervised scenario, where positive and negative pairs are produced to train a feature encoder ...

The growing availability of spatial transcriptomics data offers ... based supervised graph learning model designed for cross-slice alignment and efficient label transfer from reference to query ...

🥑 ArangoDB is a native multi-model database with flexible data models for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or ...