Denoising Variational Graph of Graphs Auto-Encoder for Predicting Structured Entity Interactions.
Han ChenHanchen WangHongmei ChenYing ZhangWenjie ZhangXuemin LinPublished in: IEEE Trans. Knowl. Data Eng. (2024)
Keyphrases
- denoising
- graph theory
- graph representation
- structured data
- weighted graph
- graph databases
- directed graph
- graph structure
- graph theoretic
- graph data
- graph matching
- graph clustering
- graph construction
- graph model
- graph mining
- graph structures
- image denoising
- adjacency matrix
- graph partitioning
- labeled graphs
- bipartite graph
- graph theoretical
- graph search
- random graphs
- total variation regularization
- subgraph isomorphism
- graph properties
- structural pattern recognition
- graph classification
- basis pursuit
- dynamic graph
- reachability queries
- graph kernels
- series parallel
- graph representations
- undirected graph
- natural images
- minimum spanning tree
- random walk
- total variation
- graph isomorphism
- maximal cliques
- spanning tree
- real world graphs
- small world
- neighborhood graph
- rate distortion
- image segmentation
- attributed graphs
- web graph
- finding the shortest path
- graph patterns
- directed acyclic graph
- bit rate
- maximum clique
- massive graphs
- connected graphs
- query graph
- network properties
- planar graphs
- social network analysis
- optical flow
- multiscale
- topological information
- denoising methods
- edge weights
- link prediction
- pattern mining
- graph layout
- computer vision