Revisiting Robustness in Graph Machine Learning.
Lukas GoschDaniel SturmSimon GeislerStephan GünnemannPublished in: ICLR (2023)
Keyphrases
- machine learning
- random walk
- machine learning methods
- decision trees
- directed graph
- graph theoretic
- knowledge acquisition
- weighted graph
- graph structure
- machine learning algorithms
- natural language processing
- graph representation
- data mining
- structured data
- connected components
- text classification
- text mining
- graph databases
- artificial intelligence
- graph matching
- inductive learning
- bipartite graph
- graph theory
- graph model
- kernel methods
- machine learning approaches
- semi supervised learning
- graph partitioning
- supervised learning
- computer science
- feature selection
- graph search
- neural network
- spanning tree
- graph clustering
- graph construction
- dependency graph
- directed acyclic graph
- inductive logic programming
- learning problems
- statistical methods
- model selection
- computational intelligence
- active learning
- pattern recognition
- search algorithm
- computer vision
- learning algorithm