Extracting Higher Order Topological Semantic via Motif-Based Deep Graph Neural Networks.
Ke-Jia ZhangXiao DingBing-Bing XiangHai-Feng ZhangZhongkui BaoPublished in: IEEE Trans. Comput. Soc. Syst. (2024)
Keyphrases
- higher order
- neural network
- connected components
- topological map
- directed graph
- natural images
- pattern recognition
- graph structure
- high order
- topological information
- fuzzy logic
- higher order relations
- graph representation
- graph model
- natural language
- genetic algorithm
- semantic information
- weighted graph
- neural nets
- bipartite graph
- image segmentation
- graph databases
- artificial neural networks
- directed acyclic graph
- multi layer
- mobile robot
- semantic web
- semantic annotation
- random walk
- dna sequences
- graph matching
- graph theory
- semantic similarity
- neural network model
- domain specific
- markov random field
- spanning tree
- pairwise
- domain ontology
- semantic description
- first order logic
- lambda calculus
- structured data