Unboxing the graph: Neural Relational Inference for Mobility Prediction.
Mathias Niemann TygesenFrancisco C. PereiraFilipe RodriguesPublished in: CoRR (2022)
Keyphrases
- prediction accuracy
- random walk
- network architecture
- collective classification
- statistical relational learning
- relational learning
- prediction algorithm
- graph theory
- bipartite graph
- prediction model
- relational data
- directed graph
- relational structures
- relational databases
- liquid state machine
- inference process
- weighted graph
- graph representation
- neural network
- data model
- probabilistic inference
- connected components
- bayesian networks
- relational graph
- collective inference
- clique tree
- mobile agents
- graph structure
- graph mining
- inductive logic programming
- graph theoretic
- graphical structure
- mobile users
- protein function prediction
- directed acyclic graph