Tag: node classification

Researchers have developed BHyGNN+, a self-supervised framework that learns representations of heterophilic hypergraphs without labels by contrasting each hypergraph against ...

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

Researchers have developed a memory-augmented self-distillation framework that boosts graph neural network accuracy by 2.5 to 6 percent across benchmark ...