Relevance-Aware Anomalous Users Detection in Social Network via Graph Neural Network.
Yangyang LiYipeng JiShaoning LiShulong HeYinhao CaoXiong LiJun ShiYangchao YangYifeng LiuPublished in: CoRR (2021)
Keyphrases
- neural network
- social networks
- anomaly detection
- social media
- heterogeneous social networks
- social graph
- social graphs
- social network services
- collaborative filtering
- recommender systems
- user profiles
- detecting anomalous
- social network analysis
- bipartite graph
- social network sites
- end users
- online communities
- intrusion detection
- online social networks
- social networking
- random walk
- social influence
- user interaction
- community discovery
- user activities
- relevance ranking
- artificial neural networks
- social web
- viral marketing
- recommendation systems
- graph mining
- user interface
- detection algorithm
- directed graph
- graph theory
- sina weibo
- social roles
- online social
- social relations
- online forums
- sharing information
- user activity
- social relationships
- social networking sites
- neural network model
- structured data
- information retrieval