Abstract: Estimating node importance is critical in graph data mining, benefiting various downstream applications such as social network analysis and recommendation systems. Existing approaches face ...

Abstract: Graph Transformers, emerging as a new architecture for graph representation learning, suffer from the quadratic complexity and can only handle graphs with at most thousands of nodes. To this ...

graphs-renderer is designed to work alongside certain tools that you're likely to have in your project. To avoid version conflicts and ensure compatibility, we list these tools as peer dependencies: ...