EVA-GCN: Head Pose Estimation Based on Graph Convolutional Networks
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2021Head pose estimation is an important task in many real-world applications. Since the facial landmarks usually serve as the common input that is shared by multiple downstream tasks, utilizing landmarks to acquire high-precision head pose estimation is of practical value for many real-world applications.
Miao Xin, Shentong Mo, Yuanze Lin
openaire +1 more source
LW-GCN: A Lightweight FPGA-based Graph Convolutional Network Accelerator
ACM Transactions on Reconfigurable Technology and Systems, 2022Graph convolutional networks (GCNs) have been introduced to effectively process non-Euclidean graph data. However, GCNs incur large amounts of irregularity in computation and memory access, which prevents efficient use of traditional neural network accelerators.
Zhuofu Tao +4 more
openaire +2 more sources
GCN-LRP explanation: exploring latent attention of graph convolutional networks
2020 International Joint Conference on Neural Networks (IJCNN), 2020Graph convolutional networks (GCNs) have been successfully applied to many graph data on various learning tasks such as node classification. However, there is limited understanding of the internal logic and decision patterns of GCNs. In this paper, we propose a layer-wise relevance propagation based explanation method for GCNs, namely GCN-LRP, to ...
Jinlong Hu 0002 +2 more
openaire +1 more source
AF-GCN: Attribute-Fusing Graph Convolution Network for Recommendation
IEEE Transactions on Big Data, 2023Guowei Yue +3 more
openaire +1 more source
Developing GCN: Graph Convolutional Network with Evolving Parameters for Dynamic Graphs
2021Lin Lan, Jin Li, Yang-Geng Fu
openaire +2 more sources
BI-GCN: Bilateral Interactive Graph Convolutional Network for Recommendation
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023Yinan Zhang +9 more
openaire +2 more sources
Generative Adversarial Network-assisted Graph Convolutional Network (GANA-GCN)
2022 International Joint Conference on Neural Networks (IJCNN), 2022openaire +1 more source
LW-GCN: A Lightweight FPGA-Based Graph Convolutional Network Accelerator
ACM Transactions on Reconfigurable Technology and Systems, 2023Yuan Liang, Kun Wang, Chen Wu
exaly
AS-GCN: Adaptive Semantic Architecture of Graph Convolutional Networks for Text-Rich Networks
2021 IEEE International Conference on Data Mining (ICDM), 2021Zhizhi Yu +6 more
openaire +1 more source
CLP-GCN: Confidence and label propagation applied to Graph Convolutional Networks
Applied Soft Computing, 2023Mohadeseh Ghayekhloo, Ahmad Nickabadi
openaire +1 more source