Zhao H, Xu X, Song Y, et al. Ranking Users in Social Networks with Motif-based PageRank[J]. IEEE Transactions on Knowledge and Data Engineering, 2019.
Based on the principles of acupoint selection involved in acupuncture clinics in Chinese medicine, the acupoints involved in the data were divided into a total of 19 regions according to their distribution characteristics. From these 19 regions, we selected the key acupoints that have a large ...
The Motif based PageRank framework proposed by Zhao et al.26 calculate the probability transition matrix of network nodes to measure the importance of nodes. RUM27 learned the embedding representation of preserving higher-order structure of the network by learning the module weight and the motif-...
16 introduced a motif-based algorithm for learning node embeddings specifically tailored for link prediction tasks. This algorithm harnesses the concept of motifs, incorporating two levels of proximity within an autoencoder framework, to capture high-order structural information and mitigate the challenges...
算法首先计算出基于Motif的网络权重矩阵;接着求得网络中每个节点的基于Motif的个性化PageRank预估值;最后进行MotifWalk得到游走路径,从而能够运用Word2Vec模型来得到网络的向量表示。通过与三个经典的网络表示算法比较,发现在稠密以及Motif结构丰富的网络中,提出的算法表现得更好。关键词:网络表示学习;随机游走;Motif结构...
Personalized Temporal Motif PageRank algorithmIn temporal networks, PageRank-based methods are usually used to calculate the importance of nodes. However, almost all the methods focus on the first-order relationships between nodes while ignore higher-order interactions between nodes in the graph. ...