Learning Large Graph Property Prediction via Graph Segment Training.
Kaidi CaoPhitchaya Mangpo PhothilimthanaSami Abu-El-HaijaDustin ZelleYanqi ZhouCharith MendisJure LeskovecBryan PerozziPublished in: NeurIPS (2023)
Keyphrases
- random walk
- graph structure
- learning process
- supervised learning
- prediction accuracy
- learning algorithm
- structured data
- graph representation
- weighted graph
- graph theory
- graph matching
- deep architectures
- prediction error
- online learning
- training set
- graph properties
- motor skills
- bipartite graph
- prior knowledge
- learning speed
- directed acyclic graph
- computer software
- fully connected
- graph mining
- decision trees
- learning stage
- linear predictors
- learning machines
- graph partitioning
- learning systems
- serious games
- pairwise
- unsupervised learning
- training samples
- learning problems
- connected components