Spatio-Temporal Deep Fusion Graph Convolutional Networks for Crime Prediction.
Bingbing ChenYong LiaoPublished in: ICMLSC (2023)
Keyphrases
- spatio temporal
- deep learning
- prediction accuracy
- criminal networks
- spatial and temporal
- dynamic networks
- neural network ensemble
- graph representation
- community discovery
- small world
- prediction model
- social networks
- graph theory
- movement patterns
- fully connected
- law enforcement
- prediction error
- multi sensor
- information fusion
- directed graph
- graph structure
- directed acyclic graph
- network analysis
- graph mining
- fusion method
- complex networks
- image sequences
- moving objects
- data fusion
- degree distribution
- terrorist networks
- citation networks
- spatio temporal databases
- connected components
- edge weights
- graph structures
- sparse coding
- graph databases
- deep belief networks
- bipartite graph