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: KDD (2024)
Keyphrases
- machine learning
- graph structure
- pattern recognition
- data mining
- graph theory
- small scale
- machine learning methods
- structured data
- model selection
- million images
- learning tasks
- directed graph
- learning systems
- real world
- graph representation
- inductive logic programming
- computational intelligence
- text mining
- knowledge representation
- real life
- decision trees
- text classification
- data sets
- graph based algorithm
- web scale
- learning algorithm
- spanning tree
- graph model
- weighted graph
- bipartite graph
- data analysis
- kernel methods
- feature set
- knowledge acquisition
- random walk
- graph matching
- natural language processing
- benchmark datasets
- computational biology
- graph mining algorithms
- massive graphs
- graph theoretic
- graph databases
- support vector machine
- graph mining
- directed acyclic graph
- feature selection
- bayesian networks