xNet: Improving Expressiveness and Granularity for Network Modeling with Graph Neural Networks.
Mowei WangLinbo HuiYong CuiRu LiangZhenhua LiPublished in: INFOCOM (2022)
Keyphrases
- neural network
- pattern recognition
- network architecture
- hopfield network
- dynamic networks
- recurrent networks
- network model
- graph model
- random walk
- network traffic
- hopfield networks
- artificial neural networks
- bipartite graph
- network structure
- expressive power
- graph representation
- graph theoretic
- finding the shortest path
- fuzzy logic
- hopfield neural network
- scale free
- random graphs
- spanning tree
- recurrent neural networks
- computer networks
- graphical representation
- small world
- activation function
- back propagation
- fully connected
- training process
- graph structure
- directed graph