OpenGSL: A Comprehensive Benchmark for Graph Structure Learning.
Zhiyao ZhouSheng ZhouBochao MaoXuanyi ZhouJiawei ChenQiaoyu TanDaochen ZhaYan FengChun ChenCan WangPublished in: NeurIPS (2023)
Keyphrases
- structure learning
- graphical models
- bayesian networks
- graph structure
- conditional independence
- markov logic networks
- bayesian network classifiers
- parameter learning
- bayesian network structure learning
- transfer learning
- probabilistic model
- parameter estimation
- network structure
- sample size
- random walk
- graph theory
- directed graph
- directed acyclic graph
- graph theoretic
- belief propagation
- random variables
- structural learning
- structure learning algorithm