AVGCN: Trajectory Prediction using Graph Convolutional Networks Guided by Human Attention.
Congcong LiuYuying ChenMing LiuBertram E. ShiPublished in: CoRR (2021)
Keyphrases
- prediction accuracy
- neural network ensemble
- protein interaction
- average degree
- graph theoretic
- prediction model
- edge weights
- dynamic networks
- prediction error
- community discovery
- fully connected
- prediction algorithm
- weighted graph
- spanning tree
- social networks
- random graphs
- graph structures
- graph theory
- human subjects
- complex networks
- structured data
- random walk
- highly connected
- overlapping communities
- graph structure
- graph partitioning
- graph matching
- directed graph
- graph layout
- graph databases
- social graphs
- trajectory data
- small world
- network architecture
- graph mining
- network analysis
- bipartite graph
- network structure
- mobile robot
- artificial neural networks