Research team led by Chuliang Weng introduces D2-GCN, a groundbreaking disentangled graph convolutional network that dynamically adjusts feature channels for enhanced node representation ...

Once trained, the GNN can be used for inference, making predictions for tasks, such as node classification, link prediction or graph classification. Graph neural networks vs. graph convolutional ...