A Graph Neural Network For Assessing The Affective Coherence Of Twitter Graphs.
Georgios DrakopoulosIoanna GiannoukouPhivos MylonasSpyros SioutasPublished in: IEEE BigData (2020)
Keyphrases
- neural network
- graph representation
- graph theory
- labeled graphs
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- graph construction
- directed graph
- weighted graph
- adjacency matrix
- graph theoretic
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- graph search
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- bipartite graph
- graph properties
- graph classification
- subgraph isomorphism
- series parallel
- random graphs
- graph isomorphism
- graph partitioning
- structural pattern recognition
- graph data
- social networks
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- undirected graph
- reachability queries
- graph transformation
- spanning tree
- graph kernels
- directed acyclic
- graph representations
- maximum common subgraph
- online social networks
- graph layout
- knn
- web graph
- massive graphs
- artificial neural networks
- attributed graphs
- graph drawing
- social graphs
- maximum cardinality
- inexact graph matching
- edge weights
- maximum clique
- neighborhood graph
- finding the shortest path
- adjacency graph
- structured data
- polynomial time complexity
- dynamic graph
- random walk
- dense subgraphs
- community discovery
- planar graphs
- graph patterns
- back propagation
- small world
- attributed relational graph
- maximal cliques
- quasi cliques
- proximity graph
- shortest path
- bounded treewidth