A GAN Approach for Node Embedding in Heterogeneous Graphs Using Subgraph Sampling.
Hung Chun HsuBo-Jun WuMing-Yi HongChe LinChih-Yu WangPublished in: CoRR (2023)
Keyphrases
- frequent subgraph mining
- graph mining
- graph databases
- graph classification
- subgraph matching
- directed graph
- subgraph isomorphism
- graph structure
- nodes of a graph
- graph properties
- vector space
- graph data
- edge weights
- labeled graphs
- dense subgraphs
- frequent subgraphs
- graph clustering
- graph matching
- graph embedding
- connected subgraphs
- finding the shortest path
- subgraph mining
- weighted graph
- undirected graph
- graph structures
- random sampling
- graph theory
- query graph
- spectral embedding
- graph theoretic
- structuring elements
- small world networks
- sample size
- spanning tree
- structured data
- community discovery
- pattern mining
- relational data
- maximum clique
- link prediction
- sampling methods
- graphical models
- community detection