77 citations · 429 across the 30 of their papers we have counts for
10 papers · 1 filter
Nothing Stands Alone: Relational Fake News Detection with Hypergraph Neural Networks
Ujun Jeong, Kaize Ding, Lu Cheng +3
Nowadays, fake news easily propagates through online social networks and becomes a grand threat to individuals and society. Assessing the authenticity of news is challenging due to…
Privacy-Aware Recommendation with Private-Attribute Protection using Adversarial Learning
Ghazaleh Beigi, Ahmadreza Mosallanezhad, Ruocheng Guo +3
Recommendation is one of the critical applications that helps users find information relevant to their interests. However, a malicious attacker can infer users' private information…
Learning Individual Causal Effects from Networked Observational Data
Ruocheng Guo, Jundong Li, Huan Liu
Convenient access to observational data enables us to learn causal effects without randomized experiments. This research direction draws increasing attention in research areas such…
Detecting Pathogenic Social Media Accounts without Content or Network Structure
Elham Shaabani, Ruocheng Guo, Paulo Shakarian
The spread of harmful mis-information in social media is a pressing problem. We refer accounts that have the capability of spreading such information to viral proportions as "Patho…
Using network motifs to characterize temporal network evolution leading to diffusion inhibition
Soumajyoti Sarkar, Ruocheng Guo, Paulo Shakarian
Network motifs are patterns of over-represented node interactions in a network which have been previously used as building blocks to understand various aspects of the social networ…
Understanding and forecasting lifecycle events in information cascades
Soumajyoti Sarkar, Ruocheng Guo, Paulo Shakarian
Most social network sites allow users to reshare a piece of information posted by a user. As time progresses, the cascade of reshares grows, eventually saturating after a certain t…