Position-based Hash Embeddings For Scaling Graph Neural Networks.
Maria KalantziGeorge KarypisPublished in: CoRR (2021)
Keyphrases
- neural network
- graph representation
- graph structure
- directed graph
- pattern recognition
- structured data
- random walk
- fault diagnosis
- dimensionality reduction
- back propagation
- fuzzy logic
- artificial neural networks
- position and orientation
- graph theoretic
- learning algorithm
- recurrent neural networks
- data structure
- graph theory
- graph model
- neural nets
- feed forward
- graph databases
- hash functions
- connected components
- edge weights
- weighted graph
- euclidean space
- bipartite graph
- vector space
- tree structure
- self organizing maps
- sufficient conditions
- genetic algorithm