Tag: graph representation learning

Researchers in Cyprus used classical machine learning and GraphSAGE-based graph representation learning to predict missing transmission links in COVID-19 infection ...

Spanish researchers have developed RRWK, a return random walk-based subgraph extraction method that preserves structural fidelity in dense graphs where ...

A new survey in Artificial Intelligence Review unifies graph structure learning and automated graph neural architecture search into a single ...

Researchers show that a randomly initialized, never-trained graph neural network paired with a lightweight streaming classifier outperforms state-of-the-art methods in ...