Position-based Hash Embeddings For Scaling Graph Neural Networks.
Maria KalantziGeorge KarypisPublished in: IEEE BigData (2021)
Keyphrases
- neural network
- graph theory
- pattern recognition
- artificial neural networks
- hash functions
- directed graph
- graph structure
- graph model
- random walk
- multilayer perceptron
- neural nets
- weighted graph
- low dimensional
- fuzzy logic
- position and orientation
- spanning tree
- graph representation
- recurrent neural networks
- neural network model
- back propagation
- high dimensional data
- dimensionality reduction
- b tree
- data sets
- vector space
- structured data
- multi layer
- control system
- feature extraction
- graph partitioning
- genetic algorithm
- graph theoretic
- locality sensitive hashing