Usage of Machine Learning Methods for Cause-Effect Graph Feasibility Prediction.
Ehlimana KrupalijaEmir CogoDamir PozderacAya Ali Al ZayatIngmar BesicPublished in: MLIS (2023)
Keyphrases
- prediction accuracy
- graph theory
- graph representation
- graph structure
- bipartite graph
- prediction model
- prediction algorithm
- directed graph
- random walk
- neural network
- stable set
- weighted graph
- usage data
- graph structures
- graph clustering
- graph theoretic
- protein function prediction
- graph model
- graph mining
- link analysis
- web mining
- graphical models
- pairwise
- data structure