Graph Domain Adaptation: Challenges, Progress and Prospects
As graph representation learning often suffers from label scarcity problems in real-world
applications, researchers have proposed graph domain adaptation (GDA) as an effective …
applications, researchers have proposed graph domain adaptation (GDA) as an effective …
High-order proximity and relation analysis for cross-network heterogeneous node classification
Cross-network node classification aims to leverage the labeled nodes from a source network
to assist the learning in a target network. Existing approaches work mainly in homogeneous …
to assist the learning in a target network. Existing approaches work mainly in homogeneous …