Position-aware subgraph neural networks with data-efficient learning
Data-efficient learning on graphs (GEL) is essential in real-world applications. Existing GEL
methods focus on learning useful representations for nodes, edges, or entire graphs with" …
methods focus on learning useful representations for nodes, edges, or entire graphs with" …
Rcoco: contrastive collective link prediction across multiplex network in Riemannian space
L Sun, M Li, Y Yang, X Li, L Liu, P Zhang… - International Journal of …, 2024 - Springer
Link prediction typically studies the probability of future interconnection among nodes with
the observation in a single social network. More often than not, real scenario is presented as …
the observation in a single social network. More often than not, real scenario is presented as …