Forecasting the future of artificial intelligence with machine learning-based link prediction in an exponentially growing knowledge network.
Mario KrennLorenzo BuffoniBruno C. CoutinhoSagi EppelJacob Gates FosterAndrew GritsevskiyHarlin LeeYichao LuJoão P. MoutinhoNima SanjabiRishi SonthaliaNgoc Mai TranFrancisco ValenteYangxinyu XieRose YuMichael KoppPublished in: Nat. Mac. Intell. (2023)
Keyphrases
- link prediction
- machine learning
- artificial intelligence
- network structure
- complex networks
- random walk
- social network analysis
- knowledge representation
- social networks
- network analysis
- bipartite graph
- expert systems
- heterogeneous networks
- multi relational
- knowledge acquisition
- supervised learning
- link formation
- graph mining
- collaborative filtering
- social ties
- natural language processing
- real world networks
- entity resolution
- collective classification
- factor graph model
- network topology
- network model
- community detection
- communication networks
- topological features
- network evolution
- bipartite networks
- data mining
- active learning
- recommender systems
- training data
- decision trees
- feature selection