Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation.
Xinyi GaoWentao ZhangJunliang YuYingxia ShaoQuoc Viet Hung NguyenBin CuiHongzhi YinPublished in: ICDE (2024)
Keyphrases
- neural network
- graph structure
- directed graph
- graph model
- graph representation
- junction tree
- undirected graph
- random walk
- edge weights
- pattern recognition
- structured data
- neural fuzzy
- tree structure
- genetic algorithm
- probabilistic inference
- neural network model
- overlapping communities
- bayesian networks
- path length
- adaptive neural
- clique tree
- nodes of a graph
- spanning tree
- graph mining
- graph matching
- back propagation
- artificial neural networks
- graph theory
- adaptive fuzzy
- strongly connected
- connected components
- root node
- self organizing maps
- source node
- shortest path
- betweenness centrality