To address this problem, in this paper we incorporate enhanced representations into a gated graph convolutional network to enrich the background information and further improve the attention mechanism to focus on the most relevant relation. Specifically, in the proposed framework, 1) we introduce a ...
(2)运行 sparse Gated Graph Neural Networks, 用 python3 ./chem_tensorflow_sparse.py (3)运行 sparse Graph Convolutional Networks (as inKipf et al. 2016), 用 python3 ./chem_tensorflow_gcn.py (4)Finally, it turns out that the extension of GCN to different edge types is a variant of GGNN...
Then, based on the Graph Convolutional Network (GCN) and Gated Recurrent Units (GRU) models, a new framework named GCG which combines the GCN and GRU is proposed to extract features and predict axle temperature. Finally, the experiments are conducted based on actual data. The results show ...
Radiotherapy Target Contouring with ConvolutionalGated Graph Neural NetworkChun-Hung Chao 1 Yen-Chi Cheng 1 Hsien-Tzu Cheng 1 Chi-Wen Huang 1Tsung-Ying Ho 2 Chen-Kan Tseng 2 Le Lu 3 Min Sun 11 National Tsing Hua University2 Chang Gung Memorial Hospital3 National Institutes of Health Clinical ...
72 - Day 7 Neural Network Project Image Classification on CIFAR10 22:10 73 - Introduction to Week 10 Convolutional Neural Networks CNNs 00:49 74 - Day 1 Introduction to Convolutional Neural Networks 26:17 75 - Day 2 Convolutional Layers and Filters 23:49 76 - Day 3 Pooling Layers ...
The research contribution of integrating Ensemble Empirical Mode Decomposition (EEMD), Gated Recurrent Unit (GRU), and Graph Convolutional Network (GCN) for prediction purposes lies in addressing the complexities of time-series data that are both spatially and temporally correlated. Each component of th...
The first approach is a gated convolutional neural network (GCNN) as a non-recurrent network alternative. Due to its convolutional layers, the network can learn hierarchical structures in sequences, which are also present in business processes that are subject to non-linear execution patterns. The...
Semantic segmentation of large-scale scene point clouds based on gated graph attention network doi:10.1117/12.2674609Point cloudsSemanticsHeadConvolutional neural networksVisualizationPoint clouds stand out among other 3D data representations for their effectiveness and adaptability. Thus, point cloud analysis ...
we propose a gated convolutional recurrent network with efficient channel attention (GCRN-ECA) for complex spectral mapping, which amounts to a causal system for monaural speech enhancement. Each layer in encoder and decoder consists of dense block. Complex spectral mapping seeks to predict the real...
Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting Zhanxing Zhu, Mengzhang Li 15 Dec 2020 215 GM-TCNet: Gated Multi-scale Temporal Convolutional Network using Emotion Causality for Speech Emotion Recognition Yan Luo, Yong Xu, Kun-Hong Liu, Xin-Cheng Wen, Jia-Xin Ye,...