Graph Prolongation Convolutional Networks: Explicitly Multiscale Machine Learning on Graphs, with Applications to Modeling of Biological Systems.
Cory B. ScottEric MjolsnessPublished in: CoRR (2020)
Keyphrases
- biological systems
- biological networks
- multiscale
- machine learning
- graph structures
- graph mining
- protein interaction networks
- complex systems
- graph structure
- systems biology
- small world
- graph theory
- biologically inspired
- graph databases
- edge weights
- directed graph
- functional modules
- genetic networks
- weighted graph
- spanning tree
- random graphs
- bipartite graph
- community discovery
- graph layout
- real world graphs
- learning algorithm
- artificial systems
- network analysis
- computational models
- complex networks
- molecular interactions
- neural dynamics
- graph data
- community detection
- social networks
- living systems
- reinforcement learning
- biological processes
- structured data
- random walk
- graphical models
- subgraph isomorphism
- densely connected
- mathematical modeling
- graph kernels
- metabolic pathways
- knowledge base
- feature selection
- protein interaction
- minimum spanning tree
- signal transduction
- link prediction
- computational biology