Towards SEU Fault Propagation Prediction with Spatio-Temporal Graph Convolutional Networks.
Li LuJunchao ChenMarkus UlbrichtMilos KrsticPublished in: DATE (2024)
Keyphrases
- spatio temporal
- prediction accuracy
- average degree
- fault diagnosis
- spatial and temporal
- social networks
- structured data
- random walk
- social graphs
- prediction error
- graph representation
- graph theory
- neural network ensemble
- directed graph
- prediction model
- graph structure
- network analysis
- fault detection
- biological networks
- graph theoretic
- small world
- fully connected
- spatio temporal databases
- protein function prediction
- neural network
- weighted graph
- bipartite graph
- human actions
- graph matching
- complex networks
- graph mining
- space time
- citation networks
- graph layout
- fault models
- computer vision
- bayesian networks
- betweenness centrality
- video sequences
- overlapping communities
- fault model
- graph structures
- undirected graph