Exploring the Evolution of Science with Pivot Topic Graphs.
Ke LiHubert NaackeBernd AmannPublished in: EDBT/ICDT Workshops (2020)
Keyphrases
- graph matching
- science education
- topic models
- directed graph
- computer science
- graph mining
- graph theoretic
- artificial intelligence
- related topics
- expert finding
- graph databases
- random graphs
- graph clustering
- labeled graphs
- science learning
- series parallel
- neural network
- document set
- news stories
- graph model
- graph theory
- latent dirichlet allocation
- e learning
- data mining