Prediction of human activity intensity using the interactions in physical and social spaces through graph convolutional networks.
Mingxiao LiSong GaoFeng LuKang LiuHengcai ZhangWei TuPublished in: Int. J. Geogr. Inf. Sci. (2021)
Keyphrases
- human activities
- human interactions
- social graphs
- activity recognition
- social networks
- human activity recognition
- link formation
- small world
- human interaction
- sensor data
- network properties
- human computer interaction
- protein interaction
- clustering coefficient
- network structure
- social interaction
- action recognition
- random graph models
- graph theory
- human behavior
- human actions
- link prediction
- protein interaction networks
- complex networks
- social media
- video database
- human knowledge
- social network analysis
- social structure
- knowledge base
- temporal structure
- degree distribution
- sensor networks
- atomic actions
- learning process