Web: http://arxiv.org/abs/2201.09882

Jan. 26, 2022, 2:10 a.m. | Zhengrong Xue, Ziao Guo, Yiwei Guo

cs.LG updates on arXiv.org arxiv.org

Popular node embedding methods such as DeepWalk follow the paradigm of
performing random walks on the graph, and then requiring each node to be
proximate to those appearing along with it. Though proved to be successful in
various tasks, this paradigm reduces a graph with topology to a set of
sequential sentences, thus omitting global information. To produce global-aware
node embeddings, we propose BiasedWalk, a biased random walk strategy that
favors nodes with similar semantics. Empirical evidence suggests BiasedWalk can …

arxiv global learning

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