The Power of Recursion in Graph Neural Networks for Counting Substructures.
Behrooz TahmasebiDerek LimStefanie JegelkaPublished in: AISTATS (2023)
Keyphrases
- neural network
- graph mining
- graph databases
- graph data
- substructure discovery
- structured data
- artificial neural networks
- pattern recognition
- fuzzy logic
- graph representation
- power consumption
- fuzzy systems
- graph theory
- graph theoretic
- directed graph
- weighted graph
- graph structure
- graph matching
- back propagation
- random walk
- bipartite graph
- neural nets
- feed forward
- connected components
- structural patterns
- pattern mining
- spanning tree
- xml documents
- data structure
- dependency graph
- genetic algorithm