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- research-articleApril 2021
Reducing Cumulative Errors of Incremental CP Decomposition in Dynamic Online Social Networks
ACM Transactions on Knowledge Discovery from Data (TKDD), Volume 15, Issue 3Article No.: 42, Pages 1–33https://doi.org/10.1145/3441645CANDECOMP/PARAFAC (CP) decomposition is widely used in various online social network (OSN) applications. However, it is inefficient when dealing with massive and incremental data. Some incremental CP decomposition (ICP) methods have been proposed to ...
- research-articleMay 2019
Information Diffusion Prediction with Network Regularized Role-based User Representation Learning
ACM Transactions on Knowledge Discovery from Data (TKDD), Volume 13, Issue 3Article No.: 29, Pages 1–23https://doi.org/10.1145/3314106In this article, we aim at developing a user representation learning model to solve the information diffusion prediction problem in social media. The main idea is to project the diffusion users into a continuous latent space as the role-based (sender ...
