Sleep stage classification is crucial for detecting patients' health
con...
Graph neural network (GNN) has gained increasing popularity in recent ye...
Vulnerability detection is a critical problem in software security and
a...
In recommendation scenarios, there are two long-standing challenges, i.e...
Heterogeneous graph neural network has unleashed great potential on grap...
Spatial-temporal data contains rich information and has been widely stud...
Using a pre-trained language model (i.e. BERT) to apprehend source codes...
Graph representation learning has drawn increasing attention in recent y...
We present a spatial-temporal federated learning framework for graph neu...
The rapid development of artificial intelligence, especially deep learni...