Revisiting Robustness in Graph Machine Learning.
Lukas GoschDaniel SturmSimon GeislerStephan GünnemannPublished in: CoRR (2023)
Keyphrases
- machine learning
- graph theory
- computer vision
- graph structure
- directed graph
- machine learning methods
- data mining
- graph model
- text mining
- structured data
- stable set
- graph theoretic
- computational efficiency
- random walk
- computational intelligence
- decision trees
- semi supervised learning
- graph search
- random graphs
- information extraction
- knowledge representation
- learning algorithm
- bipartite graph
- pattern recognition
- graph partitioning
- data sets
- model selection
- graph representation
- explanation based learning
- graph mining
- directed acyclic graph
- weighted graph
- active learning
- learning problems
- supervised learning
- transfer learning
- text classification