Abstract: Graph Convolutional Networks (GCNs) demonstrate significant potential in recommendation systems but face difficulties with the cold-start problem, especially in integrating new nodes during ...

Abstract: Internet of Things (IoT) data provides rich data sources and application scenarios for trajectory representation learning. Trajectory representation learning aims to transform the original ...

Many successful machine learning models for molecular property prediction rely on Lewis structure representations, commonly encoded as SMILES strings. However, a key limitation arises with molecules ...