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Graph representation learning has become a prominent tool for the characterization and understanding of the structure of networks in general and social networks in particular. Typically, these representation learning approaches embed the networks into a low-dimensional space in which the role of each individual can be characterized in terms of thei...
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... denote the task of the link sign prediction task as p@n. In Table 2 we provide the AUC-ROC scores while in Table 3 the AUC-PR scores for the undirected case. Here we observe that our proposed models outperform the baselines in most networks while being competitive in the Reddit network against SLF. ...Context 2
... tasks of signed link prediction between positive and zero samples are denoted as p@z while the negative against zero is n@z. We summarize our results presenting AUC-ROC and AUC-PR scores in Table 2 and Table 3 respectively. Once more our models outperform the baselines in most networks and for both versions of signed link prediction. ...