Lastly, using the Fourier-Galerkin shift operator, we derive a graph filter design algorithm which only depends on the graphon, and thus depends only on the probabilistic structure of the graph ...

Graph neural networks (GNNs) have achieved tremendous success on multiple graph-based learning tasks by fusing network structure and node features. Modern GNN models are built upon iterative ...

The Graph does something different: it lets blockchains be, but offers a way to index and query data stored on them efficiently using GraphQL.

Amundsen became a place to graph those usage stats. A "Data Builder" program crawls those production data stores every twelve hours to gather the metadata that is placed in the Neo4j database.

Learn how you can use Amazon Neptune's Graph Database to simplify building and running graph applications.