ECO-GNN: Signoff Power Prediction Using Graph Neural Networks with Subgraph Approximation.
Yi-Chen LuSiddhartha NathSai PentapatiSung Kyu LimPublished in: ACM Trans. Design Autom. Electr. Syst. (2023)
Keyphrases
- neural network
- prediction model
- graph mining
- graph properties
- graph databases
- prediction accuracy
- graph data
- artificial neural networks to predict
- maximum weight
- graph classification
- labeled graphs
- random walk
- frequent subgraph mining
- power consumption
- subgraph isomorphism
- frequent subgraphs
- artificial neural networks
- graph structure
- graph theory
- bipartite graph
- approximation algorithms
- neural network model
- dense subgraphs
- edge weights
- maximum clique
- maximum matching
- graph search
- genetic algorithm
- np hard
- back propagation
- social networks
- connected subgraphs
- subgraph matching
- fuzzy logic
- neural network ensemble
- structured data
- directed graph
- weighted graph
- radial basis function network
- social network analysis
- query graph
- pattern mining
- graph theoretic
- multilayer perceptron
- link prediction
- subgraph mining
- pattern recognition
- neural networks and support vector machines
- short term prediction
- graph model