Transductive Spiking Graph Neural Networks for Loihi.
Shay SnyderVictoria ClericoGuojing CongShruti R. KulkarniCatherine D. SchumanSumedh R. RisbudMaryam ParsaPublished in: ACM Great Lakes Symposium on VLSI (2024)
Keyphrases
- neural network
- feed forward
- learning rules
- spiking neural networks
- semi supervised
- transductive learning
- semi supervised classification
- bio inspired
- graph representation
- graph structure
- graph model
- network architecture
- structured data
- back propagation
- fuzzy logic
- graph theoretic
- multi layer
- genetic algorithm
- directed graph
- pattern recognition
- graph theory
- semi supervised learning
- random walk
- multilayer perceptron
- graph mining
- connected components
- label propagation
- fault diagnosis
- spiking neurons
- neural models
- pairwise
- global exponential stability
- self organizing maps
- spanning tree
- neural network model
- weighted graph