Tiered Graph Autoencoders with PyTorch Geometric for Molecular Graphs.
Daniel T. ChangPublished in: CoRR (2019)
Keyphrases
- graph theoretical
- graph theory
- graph representation
- graph structure
- weighted graph
- topological information
- graph databases
- graph matching
- graph model
- labeled graphs
- graph construction
- directed graph
- graph mining
- graph theoretic
- adjacency matrix
- graph classification
- graph clustering
- graph properties
- graph structures
- graph data
- random graphs
- graph search
- graph partitioning
- series parallel
- subgraph isomorphism
- structural pattern recognition
- real world graphs
- bipartite graph
- undirected graph
- spanning tree
- graph isomorphism
- graph drawing
- graph kernels
- maximum common subgraph
- maximum clique
- adjacency graph
- graph transformation
- graph representations
- neighborhood graph
- connected graphs
- web graph
- finding the shortest path
- minimum spanning tree
- reachability queries
- dynamic graph
- attributed graphs
- planar graphs
- maximal cliques
- dense subgraphs
- denoising
- structured data
- community discovery
- inexact graph matching
- connected dominating set
- disk resident
- association graph
- graph embedding
- directed acyclic graph
- polynomial time complexity
- social graphs
- vertex set
- maximum cardinality
- biological networks
- pattern mining
- random walk