Generative Flow Networks for Precise Reward-Oriented Active Learning on Graphs.
Yinchuan LiZhigang LiWenqian LiYunfeng ShaoYan ZhengJianye HaoPublished in: CoRR (2023)
Keyphrases
- active learning
- highly connected
- social networks
- graph matching
- real world networks
- small world
- reinforcement learning
- dynamic networks
- learning strategies
- network analysis
- learning algorithm
- random sampling
- long run
- edge weights
- graph structures
- community discovery
- average degree
- semi supervised
- unsupervised learning
- pool based active learning
- machine learning
- supervised learning
- generative model
- graph theory
- information flow
- transfer learning
- training examples
- random graphs
- graph theoretic
- directed graph
- graph databases
- selective sampling
- small world networks
- real world graphs
- dynamic programming
- community structure
- bipartite graph