SEAL

The SEAL dataset/benchmark is used to evaluate multi-node representation learning methods by providing a framework where nodes are labeled based on their relationships with a target node set before applying graph neural networks.

Papers using SEAL (1)

Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning2020