Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks.
Qiyu KangKai ZhaoYang SongSijie WangWee Peng TayPublished in: ICML (2023)
Keyphrases
- neural network
- nodes of a graph
- graph structure
- directed graph
- network architecture
- random walk
- pattern recognition
- graph embedding
- undirected graph
- tree structure
- graph clustering
- connectionist models
- neural learning
- weighted graph
- neural model
- artificial neural networks
- structured data
- back propagation
- graph model
- graph representation
- graph theory
- neural models
- genetic algorithm
- neural fuzzy
- spectral embedding
- learning rules
- finding the shortest path
- dynamical systems
- neural nets
- recurrent neural networks
- graph matching
- fuzzy logic
- vector space
- neural computation
- overlapping communities
- radial basis function
- hebbian learning
- feed forward
- associative memory
- bipartite graph
- recurrent networks
- root node
- multilayer perceptron
- neural network model
- data hiding
- bio inspired
- betweenness centrality
- hidden layer
- spanning tree
- graph mining