Domain Adaptive Graph Infomax via Conditional Adversarial Networks
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Network Science and Engineering"
DOI: 10.1109/tnse.2022.3201529
Abstract: The emerging graph neural networks (GNNs) have demonstrated impressive performance on the node classification problem in complex networks. However, existing GNNs are mainly devised to classify nodes in a (partially) labeled graph. To classify nodes… read more here.
Keywords: node representations; domain adaptive; adversarial networks; graph ... See more keywords