Graph Neural Networks with Adaptive Residual.
Xiaorui LiuJiayuan DingWei JinHan XuYao MaZitao LiuJiliang TangPublished in: NeurIPS (2021)
Keyphrases
- neural network
- artificial neural networks
- graph representation
- random walk
- graph theory
- graph structure
- graph theoretic
- pattern recognition
- back propagation
- structured data
- weighted graph
- adaptive systems
- neural nets
- learning capabilities
- fault diagnosis
- directed graph
- directed acyclic graph
- genetic algorithm
- multilayer perceptron
- recurrent neural networks
- multi layer
- self organizing maps
- graph model
- network architecture
- spanning tree
- semi supervised
- fuzzy logic
- probabilistic model
- search engine
- graph search
- graph structures
- dependency graph
- residual error
- stable set