Author

Zhiyang Wang

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Preprint Oct 2026

Looped GNNs Beyond Fixed Depth: Graph Size Generalization and Parameter-Efficient Adaptation

Generalizing from small graphs to larger ones can require computation beyond the depth of a neural model used during training. We study target tasks that admit a common local iterative computation and whose effective dependency radius grows with graph size. The central idea is to learn a local update rule through GNN p...

Zhi-Yang Wang, Zhi-Shang Luo, Yu-Su Wang · 0 citations

#graph neural networks Preprint Sep 2026

Scalability of Graph Neural Network Policies in Wireless Communication Networks

A theoretical framework for GNN transferability over sparse Random Geometric Graphs (RGGs) is established, capturing distance-dependent channel decay and spatial interference and extending this framework to conflict graph models, deriving equivalent scalability guarantees for link-level resource allocation policies.

Romina García Camargo, Zhiyang Wang, Alejandro Ribeiro · 0 citations