Typically, residues are deemed to be in contact if the Euclidean distance between any two atoms is below a certain threshold [59]. To extract detailed information from these protein graphs, a two-layer graph learning-convolutional network is also employed in this step by default, taking into ...
The algorithm for the generation of graphs is as follows. First, one assigns the number of nodes, N, and defines a square coordinate plane (X, Y) of size (104 × 104). Then, the procedure is implemented according to the following steps: ...
2. Let Y be the Poincaré half-plane and let X⊂Y be the half disk {x∈Y:|x|<1} where |x| is the euclidean norm, equipped with the metric inherited from Y. Then ∂GY is the extended real line, ∂GX=[-1,1], and the inclusion f:X→Y induces the inclusion ∂f:∂GX...
Hence, the semi-explicit vari- ational update in the time interval [tn, tn+1] can be seen as a composition of two fractional steps Algo = Algoη,T ◦ Algoc,θ , which are both variational. This numerical algorithm falls under the category of incremen- tally isentropic operator split...
By executing Algorithm 1 in Matlab version R2015a (8.5.0.197613), we solved the case study and ranked the HSRCs. The solution process took approximately 6 s, as indicated in Fig. 4. Steps of the solution process are described briefly in the following. Initially, based on LVs, ...
We can approximate the Euclidean distance with the key difference across different sorted dimensions of the Flood Sub-MBR-MIN and Flood Sub-MBR-MAX. We estimate such distance and use it for pruning in Algorithm 6. The first step of the special intersection in Algorithm 6 is initializing an ...
具体步骤如下: Specific steps are as follows: 步骤1:建立区域逆向扩展控制流图的集合: Step 1: Create a collection of regional Reverse extended control flow graph: 对指定的代码区域,从所有符合函数返回指令特征的地址自底向上构造对应的逆向扩展控制流图(Reverse Extended Control Flow Graph,RECFG),形成区...
The SOM training algorithm consistsof two essential steps: identification of the best matching unit (BMU) toaninput data,andadjustment of BMU and itsnZih
Once all the data instances are assigned, the algorithm updates the cluster centroids accordingly to the newly assigned members. These two steps are iterated until there is no change in object assignments. After the K-Means is applied, the given training data set \(\mathbb {T}\) is divided...
{kk'}\)between pairs of atom types\({\mathcal {A}}_k\)and\({\mathcal {A}}_{k'}\)using the subgraph weight function\(\Phi \). The weight function\(\Phi \)assesses the interaction strength between atoms, taking into account their Euclidean distances, and it satisfies the following ...