Social-WaGDAT: Interaction-aware Trajectory Prediction via Wasserstein Graph Double-Attention Network.
Jiachen LiHengbo MaZhihao ZhangMasayoshi TomizukaPublished in: CoRR (2020)
Keyphrases
- protein interaction
- link formation
- small world
- communication patterns
- social networks
- prediction accuracy
- network dynamics
- random graphs
- dynamic networks
- heterogeneous social networks
- social interaction
- social learning
- link prediction
- network model
- social network analysis
- graphical representation
- random walk
- social graphs
- macro level
- network evolution
- network properties
- social media
- random graph models
- elman network
- social connections
- path length
- peer to peer
- user interaction
- graph representation
- complex networks
- directed graph
- prediction model
- wireless sensor networks
- human computer interaction
- community structure
- overlapping communities
- bipartite graph
- weighted graph
- online social
- spanning tree
- functional modules
- communication tools
- information diffusion