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Generate realistic test data in Python fast. No dataset required

Learn the NumPy trick for generating synthetic data that actually behaves like real data.
Frontiers

Resilience optimization and dynamic stability defense in active distribution networks under ...

1 Guangdong Power Grid Corporation Foshan Power Supply Bureau, Foshan, China 2 Electric Power Research Institute of China Southern Power Grid, Guangzhou, Guangdong, China Introduction: The escalating ...
IEEE

Domain-aware Node Representation Learning for Graph Out-of-Distribution Generalization

Abstract: Graph Neural Networks (GNNs) have demonstrated impressive success across diverse fields when data satisfies in-distribution (ID) assumption. Nevertheless, GNN performance significantly ...
IEEE

GDSG: Graph Diffusion-Based Solution Generator for Optimization Problems in MEC Networks

Abstract: Optimization is crucial for the efficiency and reliability of multi-access edge computing (MEC) networks. Many optimization problems in this field are NP-hard and do not have effective ...