Nature

Efficient federated graph aggregation for privacy-preserving GNN-based session recommendation

Graph Neural Networks (GNN) have attracted increasing attention due to their efficient performance in recommendation systems. However, applying GNNs in session-based recommendations with emerging ...
Nature

Kolmogorov–Arnold graph neural networks for molecular property prediction

Graph neural networks (GNNs) have shown remarkable success in molecular property prediction as key models in geometric deep learning. Meanwhile, Kolmogorov–Arnold networks (KANs) have emerged as ...