Hierarchical model selection for graph neural networks
Y Oishi, K Kaneiwa - IEEE Access, 2023 - ieeexplore.ieee.org
Node classification on graph data is a major problem in machine learning, and various
graph neural networks (GNNs) have been proposed. Variants of GNNs such as H2GCN and …
graph neural networks (GNNs) have been proposed. Variants of GNNs such as H2GCN and …
Graph Neural Network Model Based on Layered Converter Aggregation
X Wang - 2023 4th International Conference on Electronic …, 2023 - ieeexplore.ieee.org
Graph data is an important data in real society. With the development of neural network
technology, graph neural networks are receiving more and more attention. However, the …
technology, graph neural networks are receiving more and more attention. However, the …