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Robust Negative Sampling for Network Embedding

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Figure

Table 1: Data sets for experiments
Table 2: Algorithm comparison for 50% data labeled, Type I and II objectives. The maximum standard deviation of the presentednumbers for type I and type II are respectively 0.005 and 0.0072
Figure 2: Effect of penalty λ on multi-label classification per-formance for data with 50% of labels withheld, averaged over5 iterations

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