Subgraph Graph Neural Networks: Balancing Scalability and Expressivity

This article reviews the challenges of traditional graph neural networks on large graphs, introduces subgraph‑based GNN methods such as GraphSAINT, Shadow‑GNN, OSAN and ESAN, and discusses how these approaches improve scalability and expressive power while outlining future research directions.

AIexpressivitygraph neural networks

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Subgraph Graph Neural Networks: Balancing Scalability and Expressivity