A2GNN model enhances performance in adapting graph knowledge across different domains.
― 6 min read
Jiajun Bu
A novel approach to graph domain adaptation without needing labeled data.
― 6 min read
A new approach to refine recommendation systems by correcting unsuitable suggestions efficiently.
― 8 min read
A new benchmark helps improve GNN performance amid label noise challenges.
― 7 min read
A look into the challenges and innovations in graph domain adaptation methods.
― 7 min read
ANR improves efficiency and performance in data representation tasks.
― 4 min read
Inceptive Graph Neural Networks bridge the gap between homophily and heterophily for better data representation.
― 5 min read