Multivector Neurons: Better and Faster O(n)-Equivariant Clifford Graph Neural Networks.
Cong LiuDavid RuhePatrick ForréPublished in: CoRR (2024)
Keyphrases
- neural network
- activation function
- artificial neural networks
- graph theory
- neural models
- directed graph
- hidden layer
- weighted graph
- back propagation
- learning rules
- graph model
- bipartite graph
- graph representation
- connected components
- recurrent neural networks
- neural network model
- structured data
- graph structure
- random walk
- hidden neurons
- graph theoretic
- neural model
- spiking neurons
- distributed representations
- graph mining
- directed acyclic graph
- neural nets
- graph matching
- self organizing maps
- genetic algorithm
- multi layer perceptron
- associative memory
- feed forward neural networks
- spiking neural networks
- fault diagnosis
- fuzzy logic
- knn