Graph data, essential in fields like knowledge representation and social networks, often involves large networks with many nodes and edges. Transmitting these graphs can be highly inefficient due to ...

Transforming your impact data into sharp, strategic charts is easier than you might think. These simple visualization ...

The Graph unveils Hypergraph Developer Preview with encryption, GRC‑20 support, and decentralized data access for private apps.

Face clustering is an effective method for taking advantage of unlabeled face data. Recent studies use graph convolutional networks (GCNs) to learn feature embeddings from the neighborhood information ...

A new opportunity for affordable living with easy access to public transit has arrived in the Denver metro area.