2.1 Voxel-graph network architecture (1) Spherical voxel grouping (2) Local point-wise feature (3) Local point-attention layer (4) Global attention layer (5) Voxel-graph features representation. 2.2 Sparse-to-dense regression 2.3 Loss function 3、Experiments 1|01、Introduction 单纯地将点云投影到...
Graph Neural Networks (GNNs) have proved to be an effective representation learning framework for graph-structured data, and have achieved state-of-the-art performance on many practical predictive tasks. Among the variants of GNNs, Graph Attention Networks (GATs) improve the performance of many grap...
A unified deep sparse graph attention network for scene graph generation - ScienceDirectHao Zhou aYazhou Yang bTingjin Luo cJun Zhang aShuohao Li a
Specifically, SVGA-Net constructs the local complete graph within each divided 3D spherical voxel and global KNN graph through all voxels. The local and global graphs serve as the attention mechanism to enhance the extracted features. In addition, the novel sparse-to-dense regression module enhances...
First, the Sparse Directed Interac- tion (SDI) and Motion Tendency (MT) are learned from the spatial and temporal graph inputs using self-attention mech- anism and asymmetric convolution networks, respectively. Then, subsequent sparse spatial and temporal Graph Convo- ...
Deep pairwise learning for user preferences via dual graph attention model in location-based social networks Graph neural networkLocation based social networksDual graph attentionsUser preferencesThe rapid growth of location-based social networks (LBSN) has generated ... W Gong,K Zheng,S Zhang,......
Sparse graphs-based dynamic attention networks Graph neural networksGraph attention networksSparse graphsDynamic attentionSparse graph-based dynamic attention module reduces model's reliance on original ... R Chen,K Lin,B Hong,... - 《Heliyon》 被引量: 0发表: 2024年 DEEP LEARNING-BASED EMOTION RE...
Furthermore, attention has shifted more to RGB, optical flow, and skeleton modalities. Show abstract Review of Image Classification Algorithms Based on Graph Convolutional Networks 2023, EAI Endorsed Transactions on AI and Robotics A graph-based edge attention gate medical image segmentation method 2023...
Autism spectrum disorder diagnosis using graph attention network based on spatial-constrained sparse functional brain networks 来自 Elsevier 喜欢 0 阅读量: 147 作者:Chunde Yang,Panyu Wang,Jia Tan,Qingshui Liu,Xinwei Li 摘要: The accurate diagnosis of autism spectrum disorder (ASD), a common mental...
The Critical Node Detection Problem in networks: A survey 2018, Computer Science Review Citation Excerpt : However, the development of solving algorithms, which is even more important, has attracted less attention, except for the first variant, namely the CNP. We can also note that the developmen...