Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks.
Qiyu KangKai ZhaoYang SongSijie WangWee Peng TayPublished in: CoRR (2023)
Keyphrases
- neural network
- nodes of a graph
- directed graph
- graph structure
- network architecture
- random walk
- undirected graph
- neural network model
- graph embedding
- artificial neural networks
- fuzzy logic
- dynamical systems
- finding the shortest path
- neural learning
- associative memory
- back propagation
- connectionist models
- neural fuzzy
- learning rules
- neural computation
- pattern recognition
- neural nets
- spectral embedding
- hebbian learning
- fuzzy systems
- graph clustering
- graph mining
- graph coloring
- nonlinear dimensionality reduction
- neural model
- path length
- edge weights
- graph representation
- tree structure
- feed forward
- overlapping communities
- weighted graph
- betweenness centrality
- bio inspired
- neural models
- activation function
- multi layer perceptron
- graph partitioning
- spanning tree
- graph model
- graph matching
- vector space
- social networks