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5 days ago · Firstly, BRWSP constructs a multiple heterogeneous network by using circRNAs, diseases, and genes. Then, the biased random walk algorithm runs ...
Random walk based methods are usually used to mine the paths, weigh the ... We use the heterogeneous random walk with restart model to estimate r ...
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This paper proposes a deep model called Hyper2vec, which applies a biased \(2^{nd}\) order random walk strategy to hyper-networks in the framework of ...
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Feb 16, 2022 · Random walks on hetero- geneous structures walk slowly on meta-path, while attention on. HAI runs much faster than random walks. Furthermore, ...
Metapath2Vec: use the random walk based on meta-path to obtain the heterogeneous domain of each different type of vertex in the heterogeneous network ...
Aug 10, 2021 · We developed a computing model of biased random walk with restart on multilayer heterogeneous networks for miRNA–disease association prediction (BRWRMHMDA)
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Evaluating Random Walk-Based Network Embeddings for Web ...
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Specifically, we investigate and analyze the performance of recent random walk-based embedding approaches including node2vec, DeepWalk, LINE and HARP in ...
Dec 20, 2021 · This paper combines the attributed multiplex heterogeneous network with the attention mechanism that introduces the softsign and sigmoid function ...
This paper presents ItemRank, a random-walk based scoring algorithm, which can be used to rank products according to expected user preferences, ...
Nov 1, 2013 · ABSTRACT. We investigate sampling techniques in unbalanced heteroge- neous bipartite graphs (UHBGs), which have wide applica-.