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

News Release 4-Feb-2024 Dynamic traveling time forecasting based on spatial-temporal graph convolutional networks Peer-Reviewed Publication Higher Education Press image: Framework of DTT-STG view more ...

GNNs extend the foundational ideas of Convolutional Neural Networks (CNNs) to graph data. While CNNs capture spatial locality in grid-like data (for example, images) through convolutional kernels, ...