Deep-learning-based intelligent neonatal seizure identification using spatial and spectral GNN optimized with the Aquila algorithmdoi:10.3934/math.2024958Nelson, MadhusundarRajendran, SurendranKhalaf, Osamah IbrahimHamam, HabibAIMS Mathematics
Self attention的convolution size是由网络自己决定的 《On the relationship between Self-attention and Convolutional layers》。CNN在小数据集上效果好,Self-attention大数据集上效果好。 Self-attention VS RNN: Self-attention一般都比RNN好。 (有一篇文章专门讨论) Self-attention for Graph: Self-attention是一种...
The graph-based framework of our ST-GNN model facilitates the integration of spatial interconnectivity and temporal dynamics, capturing the complex interactions within the groundwater system. Our modified Multivariate Time Graph Neural Network model shows significant improvements over traditional methods, ...
Bruna J, Zaremba W, Szlam A, LeCun Y (2013) Spectral networks and locally connected networks on graphs. CoRR. arXiv:1312.6203 Defferrard M, Bresson X, Vandergheynst P (2016) Convolutional neural networks on graphs with fast localized spectral filtering. In: Proceedings of the 30th internati...
To solve this issue, this research provides a novel technique for final online goods quality prediction based on deep spatial–temporal graph neural networks (GNN). Our approach can capture hidden spatial information relationships and manage long-time sequences in the processing data by using a ...
range temporal information. Building upon this, attention-based techniques have been integrated into traffic forecasting models, such as ASTGCN [23], ASTGNN [24] and GMAN [25], which employ self-attention and graph multi-attention networks to learn dynamic spatial-temporal correlations in complex ...
深度学习:包括CNN、RNN、GNN、GAN等在地理空间智能中的应用 空间优化与规划:主要算法包括遗传算法、蚁群算法、粒子群算法等智能算法 大数据高性能处理:地理空间大数据涵盖了广阔的地理空间范围和丰富的信息内容,数据量通常非常庞大,且来源多样,地理空间大数据是空间数据智能大模型空间智能计算的重要目标。
G. From pattern to process: understanding stream phytobenthic assemblages and implications for determining ecological status. Nova Hedwigia, Beiheft 130, 357–372 (2006). 35. Falkowski, P. G. & LaRoche, J. Acclimation to spectral irradiance in algae. J. Phycol. 27(1), 8–14 (1991). 36...
Most existing studies adopt CNN and its variants to discover the spatial patterns of grid maps (each grid represents a region) while ignoring the correlation between distant regions that may share similar temporal patterns. In this paper, we propose a gnn-based prediction method, called STGs, ...
The result confirms the existence of a high confinement level both in the spatial and spectral domains. As the wavelength is tuned away from resonance at λ = 1488.38 nm, we observe that the spatial and spectral variations of the spot intensities exhibit an intricate behavior, ...