787 citations · 3.8k across the 54 of their papers we have counts for
8 papers · 1 filter
Modeling Personalized Dynamics of Social Network and Opinion at Individual Level
Xi Chen, Jie Tang, Yizhou Sun
Network dynamics has always been a meaningful topic deserving exploration in the realm of academy. previous network models contain two parts: (1) generating structure as per user p…
Modeling and Predicting Citation Count via Recurrent Neural Network with Long Short-Term Memory
Sha Yuan, Jie Tang, Yu Zhang +2
The rapid evolution of scientific research has been creating a huge volume of publications every year. Among the many quantification measures of scientific impact, citation count s…
Modeling and Predicting Popularity Dynamics via Deep Learning Attention Mechanism
Sha Yuan, Yu Zhang, Jie Tang +2
An ability to predict the popularity dynamics of individual items within a complex evolving system has important implications in a wide range of domains. Here we propose a deep lea…
Fast Randomized PCA for Sparse Data
Xu Feng, Yuyang Xie, Mingye Song +2
Principal component analysis (PCA) is widely used for dimension reduction and embedding of real data in social network analysis, information retrieval, and natural language process…
Semi-supervised Learning on Graphs with Generative Adversarial Nets
Ming Ding, Jie Tang, Jie Zhang
We investigate how generative adversarial nets (GANs) can help semi-supervised learning on graphs. We first provide insights on working principles of adversarial learning over grap…
DeepInf: Social Influence Prediction with Deep Learning
Jiezhong Qiu, Jian Tang, Hao Ma +3
Social and information networking activities such as on Facebook, Twitter, WeChat, and Weibo have become an indispensable part of our everyday life, where we can easily access frie…
Collaboration Diversity and Scientific Impact
Yuxiao Dong, Hao Ma, Jie Tang +1
The shift from individual effort to collaborative output has benefited science, with scientific work pursued collaboratively having increasingly led to more highly impactful resear…
Expert Finding in Community Question Answering: A Review
Sha Yuan, Yu Zhang, Jie Tang +1
The rapid development recently of Community Question Answering (CQA) satisfies users quest for professional and personal knowledge about anything. In CQA, one central issue is to f…