Unified theory of atom-centered representations and graph convolutional machine-learning schemes.
Jigyasa NigamGuillaume FrauxMichele CeriottiPublished in: CoRR (2022)
Keyphrases
- machine learning
- deep belief networks
- deep learning
- graph theoretic
- graph theory
- learning systems
- learning tasks
- computer vision
- active learning
- object recognition
- learning algorithm
- graphical representation
- graph structure
- feature selection
- learning problems
- pattern recognition
- vector representation
- theoretical framework
- structured data
- machine learning algorithms
- unsupervised learning
- random walk
- text mining
- unsupervised feature learning
- graph representation
- graph databases
- weighted graph
- directed graph
- statistical methods
- knowledge representation