Community search has emerged as a fundamental task in the analysis of large-scale graphs and social networks, where the aim is to efficiently extract subgraphs that are both structurally cohesive and ...

The analysis of social networks and graphs has become increasingly crucial as our understanding of complex systems grows. Modern research has focused on robust sampling techniques that help capture ...

Graph neural networks (GNNs) have emerged as a powerful framework for analyzing and learning from structured data represented as graphs. GNNs operate directly on graphs, as opposed to conventional ...

Graphs are widely used to represent complex relationships in everyday applications such as social networks, bioinformatics, and recommendation ...

Graphs are widely used to represent complex relationships in everyday applications such as social networks, bioinformatics, ...

In this guide, we share all you need to know about Lens Protocol, a decentralized social graph that simplifies building Web3 social platforms. As a result, Lens Protocol development led to the ...

You wouldn’t change up your entire production process based on sales from just a couple of locations, and you wouldn’t lower auto insurance premiums across the board because collision rates went down ...

Rolland is the CEO and co-founder of UXLINK, a Web3 infrastructure project focused on solving the mass adoption challenge through real social graphs and relationship-based user acquisition. Under his ...