Business Entity Matching with Siamese Graph Convolutional Networks.
Evgeny KrivosheevMattia AtzeniKatsiaryna MirylenkaPaolo ScottonChristoph MiksovicAnton ZorinPublished in: AAAI (2021)
Keyphrases
- graph matching
- matching algorithm
- maximum matching
- average degree
- small world
- graph representation
- graph structures
- information systems
- random walk
- social networks
- entity resolution
- graph model
- image matching
- data mining
- community discovery
- maximum cardinality
- graph structure
- bipartite graph
- business models
- business process
- connected components
- matching process
- pattern matching
- decision making
- association graph
- business processes
- social network analysis and mining
- directed edges
- network structure
- betweenness centrality
- stable set
- overlapping communities
- maximum weight
- dynamic networks
- business intelligence
- directed graph
- feature points
- subgraph isomorphism
- fully connected
- relational structures
- power law
- graph theoretic
- structured data
- directed acyclic graph
- graph layout
- weighted graph
- electronic data interchange
- attributed relational graph
- keypoints