To overcome the limitations of existing models in cross-sentence event relation extraction, this study introduces a Graph Convolutional Neural Network (GCN) and an innovative concept of document nodes ...

Recently, convolutional neural networks (CNNs ... carried out the overall design, and wrote the manuscript. BY provided manuscript ideas and 3D-CNN framework for writing. XL provided brain network ...

This work presents a framework based on adaptive graph convolution network (AGCN) to process both 2D and 3D facial landmarks extracted from the input RGB image. The network has a two-streams ...

A review by researchers at Tongji University and the University of Technology Sydney published in Frontiers of Computer Science, highlights the powerful role of graph neural networks (GNNs ... four ...