The Mismatch between Graph Neural Networks' Expressivity and Propagation Graphs in Fake News Detection.
Sarith ImaduwageP. P. N. V. KumaraW. J. SamaraweeraPublished in: BCD (2022)
Keyphrases
- neural network
- graph theory
- graph representation
- graph construction
- graph matching
- graph structure
- weighted graph
- directed graph
- graph theoretic
- graph databases
- graph model
- adjacency matrix
- graph partitioning
- labeled graphs
- graph mining
- structural pattern recognition
- pattern recognition
- graph theoretical
- graph clustering
- graph structures
- graph properties
- bipartite graph
- graph data
- series parallel
- subgraph isomorphism
- random graphs
- spanning tree
- graph search
- graph classification
- minimum spanning tree
- graph kernels
- maximum common subgraph
- reachability queries
- undirected graph
- topological information
- back propagation
- real world graphs
- graph drawing
- attributed graphs
- dynamic graph
- connected components
- detection algorithm
- inexact graph matching
- evolving graphs
- connected graphs
- graph transformation
- edge weights
- graph isomorphism
- adjacency graph
- maximum cardinality
- structured data
- news stories
- neighborhood graph
- graph patterns
- maximum clique
- query graph
- association graph
- social graphs
- graph representations
- planar graphs
- graph embedding
- frequent subgraphs
- directed acyclic
- massive graphs
- small world
- web graph