Invariant Graph Neural Network for Out-of-Distribution Nodes.
Zhengyu ChenYishu GongLiangliang YangJianyu ZhangWei ZhangSihong HeXusheng ZhangPublished in: ICMLC (2023)
Keyphrases
- neural network
- graph structure
- directed graph
- directed edges
- weighted graph
- undirected graph
- spanning tree
- graph representation
- adjacency matrix
- random graphs
- edge weights
- graph structures
- planar graphs
- small world
- average degree
- fully connected
- root node
- graph theory
- graphical models
- dominating set
- power law
- neural network is trained
- nodes of a graph
- affine transformation
- artificial neural networks
- real world graphs
- betweenness centrality
- strongly connected
- fuzzy logic
- probability distribution
- input pattern
- fault diagnosis
- neural network model
- bipartite graph
- affine invariant
- directed acyclic graph
- graph partitioning
- graph model
- genetic algorithm
- network architecture
- random walk
- overlapping communities
- graphical structure
- back propagation
- structured data
- random variables
- network structure
- path length