Graph Dynamical Networks: Unsupervised Learning of Atomic Scale Dynamics in Materials.
Tian XieArthur France-LanordYanming WangYang Shao-HornJeffrey C. GrossmanPublished in: CoRR (2019)
Keyphrases
- unsupervised learning
- average degree
- random walk
- dynamic networks
- graph structures
- protein interaction networks
- edge weights
- recurrent networks
- directed edges
- deep learning
- graph representation
- graph databases
- overlapping communities
- graph theory
- bipartite graph
- dynamic model
- directed graph
- complex networks
- learning materials
- network structure
- text classification
- supervised learning
- semi supervised
- multiscale
- social graphs
- network dynamics
- structural patterns
- citation networks
- functional modules
- graph model
- small world
- undirected graph
- feature selection
- social networks
- random graphs
- graphical representation
- neural network
- fully connected
- directed acyclic graph
- community detection
- network analysis
- weighted graph
- graph structure
- link prediction
- graph layout
- machine learning