Future Directions in Foundations of Graph Machine Learning.
Christopher MorrisNadav DymHaggai MaronIsmail Ilkan CeylanFabrizio FrascaRon LevieDerek LimMichael BronsteinMartin GroheStefanie JegelkaPublished in: CoRR (2024)
Keyphrases
- future directions
- machine learning
- lessons learned
- artificial intelligence
- current challenges
- random walk
- current trends
- graph representation
- current status
- machine learning methods
- open questions
- structured data
- graph structure
- bipartite graph
- graph mining
- graph theory
- pattern recognition
- graph model
- learning algorithm
- web intelligence
- weighted graph
- learning systems
- machine learning algorithms
- decision trees
- graph matching
- real world
- text classification
- computational intelligence
- spanning tree
- web graph
- natural language processing
- information extraction
- active learning
- computer science
- software product line