Relevance-Aware Anomalous Users Detection in Social Network via Graph Neural Network.
Yangyang LiYipeng JiShaoning LiShulong HeYinhao CaoYifeng LiuHong LiuXiong LiJun ShiYangchao YangPublished in: IJCNN (2021)
Keyphrases
- neural network
- social networks
- social media
- heterogeneous social networks
- anomaly detection
- social graph
- social graphs
- detecting anomalous
- social network services
- detection algorithm
- social influence
- social communities
- artificial neural networks
- information propagation
- social web
- structured data
- online communities
- information retrieval
- user activities
- viral marketing
- community discovery
- social network analysis
- social interaction
- online social networks
- bipartite graph
- social networking
- user interface
- user interaction
- graph structure
- social networking sites
- sharing information
- user activity
- micro blogging
- social relations
- weighted graph
- graph theory
- network properties
- social networking services
- recommendation systems
- random walk
- collaborative filtering
- relevance feedback
- graph model