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Predicting trends in social networks via dynamic activeness model.

, , and . CIKM, page 1661-1666. ACM, (2013)

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Semi-supervised Co-Clustering on Attributed Heterogeneous Information Networks., , , , and . Inf. Process. Manag., 57 (6): 102338 (2020)Inferring anchor links across multiple heterogeneous social networks., , and . CIKM, page 179-188. ACM, (2013)Predicting Social Links for New Users across Aligned Heterogeneous Social Networks., , and . ICDM, page 1289-1294. IEEE Computer Society, (2013)FiShNet: Fine-Grained Filter Sharing for Resource-Efficient Multi-Task Learning., , , and . CIKM, page 322-331. ACM, (2021)Inferring the impacts of social media on crowdfunding., , , and . WSDM, page 573-582. ACM, (2014)TreeGAN: Syntax-Aware Sequence Generation with Generative Adversarial Networks., , , and . ICDM, page 1140-1145. IEEE Computer Society, (2018)One Size Does Not Fit All: An Ensemble Approach Towards Information Extraction from Adverse Drug Event Narratives., , , , , , and . HEALTHINF, page 176-188. SciTePress, (2018)Relevance search in heterogeneous networks., , , , and . EDBT, page 180-191. ACM, (2012)Energy-Efficient Models for High-Dimensional Spike Train Classification using Sparse Spiking Neural Networks., , , , and . KDD, page 2017-2025. ACM, (2021)ERNet: Unsupervised Collective Extraction and Registration in Neuroimaging Data., , , and . KDD, page 1666-1675. ACM, (2022)