The study of information diffusion or cascade has attracted much attention over the last
decade. Most related works target on studying cascade-level macroscopic properties such …

Sentiment analysis of the text deals with the mining of the opinions of people from their
written communication. With the increasing usage of online social media platforms for user …

The prediction of information diffusion or cascade has attracted much attention over the last
decade. Most cascade prediction works target on predicting cascade-level macroscopic …

Diffusion network inference aims to reveal the message propagation process among users
and has attracted many research interests due to the fundamental role it plays in some real …

Network representation learning has recently attracted considerable interest, because of its
effectiveness in performing important network analysis tasks such as link prediction and …

Network representation learning (NRL) and cascade representation learn-ing (CRL) are
fundamental backbones of different kinds of network analysis problems. They are usually …

Network representation learning has recently attracted considerable interest, because of its
effectiveness in performing important network analysis tasks such as link prediction and …