Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks.
Vineet KosarajuAmir SadeghianRoberto Martín-MartínIan D. ReidHamid RezatofighiSilvio SavaresePublished in: NeurIPS (2019)
Keyphrases
- social graphs
- social networks
- small world
- link formation
- random graph models
- network structure
- graph representation
- graph theory
- information transfer
- random walk
- clustering coefficient
- short term
- social structure
- protein interaction networks
- multi modal
- weighted graph
- social network analysis
- complex networks
- structuring elements
- citation networks
- heterogeneous social networks
- information diffusion
- exchange rate
- connected components
- criminal networks
- network analysis
- average degree
- online social networks
- network evolution
- network properties
- long term
- dynamic networks
- fully connected
- structured data
- graph structures
- directed acyclic graph
- neural network
- functional modules
- data acquisition
- directed edges
- image analysis
- graph layout
- directed graph
- visual attention
- social networking
- graph mining
- graph model
- structural patterns
- edge weights
- random graphs
- real world networks
- network size