Transductive Spiking Graph Neural Networks for Loihi.
Shay SnyderVictoria ClericoGuojing CongShruti R. KulkarniCatherine D. SchumanSumedh R. RisbudMaryam ParsaPublished in: CoRR (2024)
Keyphrases
- neural network
- feed forward
- learning rules
- spiking neural networks
- bio inspired
- artificial neural networks
- back propagation
- pattern recognition
- random walk
- spiking neurons
- graph structure
- semi supervised classification
- hebbian learning
- transductive learning
- directed graph
- graph representation
- fuzzy logic
- weighted graph
- activation function
- graph theory
- structured data
- graph model
- multi layer
- bipartite graph
- connected components
- graph theoretic
- graph matching
- training process
- graph mining
- biologically plausible
- neural nets
- network architecture
- recurrent neural networks
- multilayer perceptron
- radial basis function
- fault diagnosis
- semi supervised learning
- control system
- support vector
- social networks
- genetic algorithm
- machine learning