SGCN: Sparse Graph Convolution Network for Pedestrian Trajectory Prediction.
Liushuai ShiLe WangChengjiang LongSanping ZhouMo ZhouZhenxing NiuGang HuaPublished in: CoRR (2021)
Keyphrases
- peer to peer
- prediction accuracy
- dynamic networks
- sparsely connected
- fully connected
- random graphs
- graph representation
- prediction model
- radial basis function network
- finding the shortest path
- network traffic
- pedestrian detection
- spanning tree
- complex networks
- network structure
- structured data
- directed acyclic graph
- densely connected
- gaussian graphical models
- elman network
- small world
- graphical representation
- high dimensional
- bipartite graph
- link prediction
- computer networks
- connected components
- wireless sensor networks