CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning.
Ulrik Friis-JensenFrederik L. JohansenAndy S. AnkerErik B. DamKirsten M. Ø. JensenRaghavendra SelvanPublished in: CoRR (2024)
Keyphrases
- machine learning
- graph representation
- directed graph
- machine learning algorithms
- random walk
- learning algorithm
- computational intelligence
- weighted graph
- structured data
- graph structure
- model selection
- machine learning methods
- graph theory
- pattern recognition
- graph theoretic
- massive graphs
- small scale
- benchmark datasets
- graph model
- learning systems
- graph mining algorithms
- computer vision
- natural language processing
- database
- real world
- feature selection
- machine learning approaches
- decision trees
- reinforcement learning
- knowledge representation
- inductive learning
- supervised learning
- knowledge acquisition
- semi supervised learning
- graph matching
- information extraction
- learning tasks
- pairwise
- semi supervised
- connected components
- computational biology
- statistical methods
- graph based algorithm
- data mining