outputs is obtained based on graph theory method. Third, an effective algorithm to realize the maximum decomposition w.r.t. outputs is proposed. Finally, some examples are addressed to validate the theoretical results.doi:10.1007/s11424-016-5131-3ZOU YunleiZHU Jiandong系统科学与复杂性(英文版)...
The methods for the first issue mainly include graph-based methods, volume decomposition methods and hint-based reasoning methods. Han et al. have given a good review on these methods [1]. Here, we focus on the work on the second issue. Most of the methods documented in literatures for ...
The EEMD-GRU-GCN (Ensemble Empirical Mode Decomposition—Gated Recurrent Unit—Graph Convolutional Network) prediction algorithm is a complex, hybrid model that combines signal processing, recurrent neural networks, and graph-based neural networks to predict time series data. Below is a conceptual outlin...
The AMGRNTD method utilizes a linear combination of multiple simple graphs to more effectively preserve the intrinsic manifold structure of the original data, offering greater applicability to practical problems than single graph-based methods. Furthermore, the AMGRNTD method automatically learns an ...
However, since uncovering associations via experimental methods is expensive and time-consuming, novel and effective computational methods for association prediction are in demand. In this study, we developed a computational model of Matrix Decomposition and Heterogeneous Graph Inference for miRNA-disease ...
In the methods used here the communication and outputting of variables to files are based on local numbering rather than global numbering, and therefore no translation back from local to global numbering is necessary. With reference to the grid decomposed in Fig. 6.3 the data structure established...
,a t into ( s − 1) n/2 classes, each class consisting of disjoint paths, to be extendible to a Hamiltonian decomposition of the complete s-partite graph K rmn, n,…, n so that each of the classes forms part of a ... AJW Hilton,CA Rodger - 《Discrete Mathematics》 被引量: ...
Since the GHuST framework only analyzes graphlets of orders 3 and below, it can be calculated in affordable times. As Hočevar et Demšar show, an increase in the number of graphlet nodes triggers the computation time in all the analyzed methods to count graphlets covered in their study...
and Yen, D.W., 2001, “Graph-based setup planning and tolerance decomposition for computer-aided fixture design,” International Journal of Production Research , 39 (14), pp. 3109–3126.Zhang, Y., Hu, W., Rong, Y. and Yen, D.W., 2001, “Graph-based setup planning and tolerance ...
DE genes and non-DE genes in both datasets can be found in the “Methods” section. Based on the computational efficiency of the algorithm, we compare scCAD with three rare cell detection algorithms: FiRE, GapClust, and GiniClust3. During each iteration of the experiment, an equivalent number...