GCN-WP - Semi-Supervised Graph Convolutional Networks for Win Prediction in Esports.
Alexander J. BisbergEmilio FerraraPublished in: CoG (2022)
Keyphrases
- semi supervised
- semi supervised classification
- label propagation
- average degree
- graph construction
- semi supervised learning
- labeled data
- neural network ensemble
- unlabeled data
- fully connected
- pairwise
- graph theory
- prediction model
- prediction accuracy
- complex networks
- social networks
- network size
- community discovery
- clustering coefficient
- graph representation
- weighted graph
- active learning
- network structure
- supervised learning
- random walk
- graph structures
- biological networks
- overlapping communities
- deep learning
- small world
- dynamic networks
- social network analysis
- directed edges
- unsupervised learning
- restricted boltzmann machine
- dimensionality reduction
- betweenness centrality
- graph layout
- graph structure
- protein interaction networks
- connected components
- directed graph
- random graphs
- labeled and unlabeled data
- subspace learning
- edge weights
- wavelet packet
- bipartite graph
- graph model
- graph mining
- community detection