D2-GCN: a graph convolutional network with dynamic disentanglement for node classification. Higher Education Press . Journal Frontiers of Computer Science DOI 10.1007/s11704-023-3339-7.

The team proposed a novel dynamic routing planning framework DTT-STG integrated with map-matching, ... Dynamic traveling time forecasting based on spatial-temporal graph convolutional networks.

Predict dynamic behaviors in a physics system in a way that’s computationally efficient and adaptable to a range of scenarios. March 13th, ... GNNs extend the foundational ideas of Convolutional ...

A technical paper titled “Accelerating Defect Predictions in Semiconductors Using Graph Neural Networks” was published by researchers at Purdue University, Indian Institute of Technology (IIT) Madras, ...