2.(Mathematics)mathsa drawing depicting a functional relation between two or three variables by means of a curve or surface containing only those points whose coordinates satisfy the relation 3.(Mathematics)mathsa structure represented by a diagram consisting of points (vertices) joined by lines (ed...
A trivial solution is to explicitly evaluate all paths from the input to the output. However, the number of paths can grow exponentially with respect to the number of gates. A more efficient solution exists: we can model the circuit as a directed graph whose edge weights are the delays of...
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To produce a protein graph representation, Graph Convolutional Network (GCN)36 is used in BGNN to optimize the protein graphs. As shown in Fig. 1c, BGNN contains two GCN blocks, and we construct three components for each GCN block to obtain a fixed-length embedding vector for a protein ...
A sub-graph is a graph all of whose nodes and edges are contained the same way, in a larger graph, which may have additional nodes and/or edges as well. For example: What Is a Forest? An undirected acyclic graph is called a forest graph. In other words, a forest is an undirected ...
Its goal in most cases is to replace some original graph by one which has fewer nodes, but whose structure and characteristics are similar to those of the original graph. As will be seen, a common strategy in these methods is to rely on spectral properties to define the coarse graph....
The reliance on a solitary linear reference genome has imposed a significant constraint on our comprehensive understanding of genetic variation in animals. This constraint is particularly pronounced for non-reference sequences (NRSs), which have not been
Pan-genome graphs are gaining importance in the field of bioinformatics as data structures to represent and jointly analyze multiple genomes. Compacted de Bruijn graphs are inherently suited for this purpose, as their graph topology naturally reveals sim
Problems whose solution is a manifold of co-dimension one, such as surface extraction in a volume, can be solved using graph cuts. A formulation often used for 3D recon- struction is to embed a graph in a volume containing the surface and estimate the surface as a cut separating free- ...
“protein binding” function term hardly interact with each other. We suggest that future work may consider leveraging function annotations to enhance the expressiveness of protein representations. Inspired by the contrastive learning principle, a potentially feasible solution is to enhance the consistency ...