Example: confidence
To End Deep Learning Architecture For Graph
Found 2 free book(s)
Spatio-Temporal Graph Convolutional Networks: A Deep ...
www.ijcai.orgpose a novel deep learning architecture, the spatio-temporal graph convolutional networks, for trafÞc forecasting tasks. This architecture comprises several spatio-temporal convolu-tional blocks, which are a combination of graph convolutional layers[Defferrardet al., 2016] and convolutional sequence learning layers, to model spatial and ...
Point-GNN: Graph Neural Network for 3D Object Detection in ...
openaccess.thecvf.comIn this paper, we propose a graph neural network to detect objects from a LiDAR point cloud. Towards this end, we encode the point cloud efficiently in a fixed ra-dius near-neighbors graph. We design a graph neural net-work, named Point-GNN, to predict the category and shape of the object that each vertex in the graph belongs to. In