A graph neural network for fuzzy Twitter graphs.
Georgios DrakopoulosEleanna KafezaPhivos MylonasSpyros SioutasPublished in: CIKM Workshops (2021)
Keyphrases
- neural network
- graph representation
- graph matching
- graph structure
- fuzzy logic
- graph theory
- graph databases
- graph mining
- graph construction
- weighted graph
- adjacency matrix
- directed graph
- labeled graphs
- social networks
- graph structures
- graph model
- graph data
- hybrid intelligent
- bipartite graph
- social graphs
- graph theoretical
- graph properties
- series parallel
- graph theoretic
- fuzzy neural network
- undirected graph
- graph clustering
- graph classification
- subgraph isomorphism
- online social networks
- random graphs
- fuzzy sets
- fuzzy systems
- graph representations
- social media
- graph partitioning
- structural pattern recognition
- graph layout
- community discovery
- graph search
- maximum common subgraph
- graph isomorphism
- planar graphs
- minimum spanning tree
- dynamic graph
- dense subgraphs
- membership functions
- random walk
- spanning tree
- back propagation
- graph kernels
- artificial neural networks
- link prediction
- reachability queries
- graph patterns
- topological information
- edge weights
- massive graphs
- finding the shortest path
- knn
- query graph
- connected graphs
- real world graphs
- web graph
- neighborhood graph
- adjacency graph
- adaptive resonance theory
- attributed graphs
- maximal cliques
- social networking
- maximum clique
- fuzzy controller
- social graph
- directed acyclic
- structured data
- evolving graphs
- small world
- shortest path
- pattern mining