Random-Walk Graph Embeddings and the Influence of Edge Weighting Strategies in Community Detection Tasks.
Andreas KosmatopoulosKostas LoumponiasDespoina ChatzakouTheodora TsikrikaStefanos VrochidisIoannis KompatsiarisPublished in: OASIS@HT (2021)
Keyphrases
- random walk
- community detection
- link prediction
- hyper graph
- network analysis
- directed graph
- graph clustering
- graph mining
- complex networks
- bipartite graph
- community structure
- social networks
- graph laplacian
- label propagation
- markov chain
- real world networks
- flow graph
- label propagation algorithm
- weighted graph
- undirected graph
- densely connected
- overlapping communities
- community detection algorithms
- markov random walk
- link analysis
- transition probability matrix
- link structure
- social graph
- community discovery
- information networks
- edge weights
- social influence
- biological networks
- graph structure
- manifold learning
- social network analysis
- massive graphs
- collaborative filtering
- training data