techxplore21d
Efficient machine learning: Predicting material properties with limited data
For the current study, the research team developed a GNN-based model. The architecture of the GNN, such as the number of layers and how they are connected, determines how well the model can learn and ...
IEEE25d
MC-GNN: Multi-Channel Graph Neural Networks With Hilbert-Schmidt Independence Criterion
Abstract: Graph Neural Networks (GNNs) have been proven to be useful for learning graph-based knowledge. However, one of the drawbacks of GNN techniques is that they may get stuck in the problem of ...