FedGSL: Federated Graph Structure Learning for Local Subgraph Augmentation.
Geng ZhaoYi HuangChi Hsu TsaiPublished in: Big Data (2022)
Keyphrases
- structure learning
- bayesian networks
- graphical models
- graph mining
- graph databases
- graph properties
- conditional independence
- graph data
- parameter learning
- parameter estimation
- transfer learning
- graph structure
- bayesian network structure learning
- markov logic networks
- directed graph
- directed acyclic graph
- graph theoretic
- graph theory
- random walk
- network structure
- markov networks
- random variables
- feature selection
- graph cuts
- high dimensional
- lower bound
- structural learning
- data mining