most citedSentiment Analysis and Topic Modeling for COVID-19 Vaccine Discussions

9 citations · 9 across the 5 of their papers we have counts for

collaborators

6 papers

cs.LG2022

Fake News Quick Detection on Dynamic Heterogeneous Information Networks

Jin Ho Go, Alina Sari, Jiaojiao Jiang +2

The spread of fake news has caused great harm to society in recent years. So the quick detection of fake news has become an important task. Some current detection methods often mod…

cs.SI2022

Reconnecting the Estranged Relationships: Optimizing the Influence Propagation in Evolving Networks

Taotao Cai, Qi Lei, Quan Z. Sheng +3

Influence Maximization (IM), which aims to select a set of users from a social network to maximize the expected number of influenced users, has recently received significant attent…

cs.CY20219 cited

Sentiment Analysis and Topic Modeling for COVID-19 Vaccine Discussions

Hui Yin, Xiangyu Song, Shuiqiao Yang +1

The outbreak of the novel Coronavirus Disease 2019 (COVID-19) has lasted for nearly two years and caused unprecedented impacts on people's daily life around the world. Even worse,…

cs.CL2021

Representation Learning for Short Text Clustering

Hui Yin, Xiangyu Song, Shuiqiao Yang +2

Effective representation learning is critical for short text clustering due to the sparse, high-dimensional and noise attributes of short text corpus. Existing pre-trained models (…

cs.LG2021

Variational Co-embedding Learning for Attributed Network Clustering

Shuiqiao Yang, Sunny Verma, Borui Cai +4

Recent works for attributed network clustering utilize graph convolution to obtain node embeddings and simultaneously perform clustering assignments on the embedding space. It is e…

cs.SI2021

Network Growth From Global and Local Influential Nodes

Jiaojiao Jiang, Sanjay Jha

In graph theory and network analysis, node degree is defined as a simple but powerful centrality to measure the local influence of node in a complex network. Preferential attachmen…