A Graph Matching Based Integrated Scheduling Framework for Clustered VLIW Processors Scheduling for clustered architectures involves spatial concerns (where to schedule) as well as temporal concerns (when to schedule) and various clustered ... R Nagpal,YN Srikant - IEEE Computer Society 被引量: 26发...
SimGNN: A Neural Network Approach to Fast Graph Similarity Computation. Yunsheng Bai, Hao Ding, Song Bian, Ting Chen, Yizhou Sun, Wei Wang. WSDM, 2019. [Paper] A reference Tensorflow implementation is accessible [here] and another implementation is [here]. Requirements The codebase is implement...
Supplementary Table3and Supplementary Figs.4–8), the reconstruction algorithm is not particularly sensitive to the initialization as long as the information about band crossings is present. The current framework can also support initialization from more advanced electronic-structure...
a, Top, dot plot comparison of 1 Hamming distance is provided comparing the similarity of helical strategies enriched in libraries 1–9 for three G-rich targets (right) and three G-poor targets (left). The darkness of the dot represents the similarity of the enriched populations, with dark...
This paper introduces a new method for determining the shape similarity of complex 3D mesh structures based on extracting a vector of important vertices, ordered according to matrix of their most important geometrical and topological features. The case study is the digital 3D structure of the Camino...
graph theoryWe introduce a concept of similarity between vertices of directed graphs. Let CA and G(B) be two directed graphs with, respectively, n(A) and n(B) vertices. We define an n(B) x n(A) similarity matrix S whose real entry s(ij) expresses how similar vertex j (in G(A)...
tree (all of the structurally unique partial assemblies of a given size), their forward/backward reaction degeneracies, and their relative stabilities. Following [12], we represent the molar concentration of thekthunique species of sizejas [j,k], and represent the forward reaction degeneracy betwee...
Graph construction Let {s1, s2, . . . , sn} be a set of haplotype genomic sequences. Because degeneracy is intractable for VARI, we replaced degenerate bases with the most frequent base of other sequences and recorded the modification. In addition, to ensure that each sequence does not ...
combines two strategies. First, we design a learnable embedding function that maps every graph into a vector, which provides a global summary of a graph. A novel attention mechanism is proposed to emphasize the important nodes with respect to a specific similarity metric. Second, we design a pa...
We develop a new framework, MDAR, a multi-task learning approach for the DeepFM with an attention mechanism and a multi-head graph attention network with relation-fusion-enhanced recommendation. MDAR has three improvements over the original MKR; We construct a DeepAFM in the RS module, which ma...