Learnable Commutative Monoids for Graph Neural Networks.
Euan OngPetar VelickovicPublished in: LoG (2022)
Keyphrases
- neural network
- graph theory
- graph structure
- pattern recognition
- random walk
- structured data
- directed graph
- graph representation
- learning algorithm
- graph based algorithm
- graph theoretic
- fault diagnosis
- graph model
- weighted graph
- neural nets
- bipartite graph
- graph partitioning
- genetic algorithm
- graph matching
- graph mining
- feed forward
- spanning tree
- neural network model
- self organizing maps
- back propagation
- graph data
- special case