TemporalPositive-unlabeledLearningforBiomedical HypothesisGenerationviaRiskEstimation

Then, the key is to capture the temporal evolution of node pair (term pair) relations from just the positive and unlabeled data. We propose a variational inference model to estimate the positive prior, and incorporate it in the learning of node pairembeddings, which arethenused forlinkprediction.