839 citations · 1.4k across the 16 of their papers we have counts for
7 papers · 1 filter
Learning To Sample the Meta-Paths for Social Event Detection
Congbo Ma, Hu Wang, Zitai Qiu +5
Social media data is inherently rich, as it includes not only text content, but also users, geolocation, entities, temporal information, and their relationships. This data richness…
Hy-DeFake: Hypergraph Neural Networks for Detecting Fake News in Online Social Networks
Xing Su, Jian Yang, Jia Wu +1
Nowadays social media is the primary platform for people to obtain news and share information. Combating online fake news has become an urgent task to reduce the damage it causes t…
Heterogeneous Social Event Detection via Hyperbolic Graph Representations
Zitai Qiu, Jia Wu, Jian Yang +2
Social events reflect the dynamics of society and, here, natural disasters and emergencies receive significant attention. The timely detection of these events can provide organisat…
Mining User-aware Multi-relations for Fake News Detection in Large Scale Online Social Networks
Xing Su, Jian Yang, Jia Wu +1
Users' involvement in creating and propagating news is a vital aspect of fake news detection in online social networks. Intuitively, credible users are more likely to share trustwo…
A Survey on Location-Driven Influence Maximization
Taotao Cai, Quan Z. Sheng, Xiangyu Song +5
Influence Maximization (IM), which aims to select a set of users from a social network to maximize the expected number of influenced users, is an evergreen hot research topic. Its…
A Comprehensive Survey on Community Detection with Deep Learning
Xing Su, Shan Xue, Fanzhen Liu +9
A community reveals the features and connections of its members that are different from those in other communities in a network. Detecting communities is of great significance in n…
Deep Learning for Community Detection: Progress, Challenges and Opportunities
Fanzhen Liu, Shan Xue, Jia Wu +6
As communities represent similar opinions, similar functions, similar purposes, etc., community detection is an important and extremely useful tool in both scientific inquiry and d…