because the whole matrix is stored in memory with a large continuous array. In GPU architectures, it is also important, for performance, to align the matrix with memory to improve coalescence of memory accesses. In this context, theCompute Unified Device Architecture(CUDA) language...
Further, the study models and presents a probability estimate with which any randomly generated adjacency matrix would fail realization. This information could be used to design simpler algorithms for generating k-connected wireless topologies.doi:10.48550/arXiv.1304.4524Bhanage, Gautam...
Adjacency matrixPosted by Dimitra on October 26, 2017 at 3:28am in Discussion View DiscussionsHi everyone, I am trying to create different floor plan layouts given the sizes of the spaces (represented as rectangles in pic 01) to be included. Have you any idea how I could create a matrix...
论文阅读——椭圆检测 2020:Arc Adjacency Matrix-Based Fast Ellipse Detection,程序员大本营,技术文章内容聚合第一站。
In this chapter we study the adjacency matrix of a graph and an appropriate algebraic probability space in which it lives. Especially the vacuum state and their deformation on the adjacency algebra are treated. In Sect. 2.4 we introduce the quantum decomposition of the adjacency matrix, which ...
Can you point me to an explanation of what node_dim is doing? I mean my situation has a shared adjacency matrix, not sure why I have to change the axis of propagation? rusty1smentioned this issueFeb 18, 2020 Graph convolution in mini-batch (manually defined graphs)#973 ...
In this paper, we propose a deep architecture for learning semantic dependencies between tokens in a sentence. Instead of using fixed adjacency matrices initialized by dependency trees or prior knowledge, our graph module adopts an adaptive adjacency matrix to encode semantic dependencies. This matrix ...
Based on the Poisson-Voronoi tessellation of space provided by theNepersoftware the code creates discrete (combinatorial) cell complex (DCC) as the set of sparse matrices. The DCC Generator Tool generates a sparse representation of matrices: for any matrix elementa(i,j) =c, the files of the ...
This paper proposes a novel weighted graph convolutional network by constructing a logical adjacency matrix which effectively solves the feature fusion of multi-hop relation without additional layers and parameters for relation extraction task. Experimental results show that our model can take better advant...
Distance-dependent adjacency matrix is used to quantify the way agents influence each other. Theoretical analysis is established to indicate the stability (cohesiveness, collision avoidance and velocity matching) of the control systems using classical Lyapunov theory. Finally, a simulation example is ...