Structure learning via meta-hyperedge for dynamic rumor detection
Online social networks have greatly facilitated our lives but have also propagated the
spreading of rumours. Traditional works mostly find rumors from content, but content can be …
spreading of rumours. Traditional works mostly find rumors from content, but content can be …
Multi-level hyperedge distillation for social linking prediction on sparsely observed networks
Social linking prediction is one of the most fundamental problems in online social networks
and has attracted researchers' persistent attention. Most of the existing works predict …
and has attracted researchers' persistent attention. Most of the existing works predict …
Higher-order clustering in complex heterogeneous networks
Heterogeneous networks are seemingly ubiquitous in the real world. Yet, most graph mining
methods such as clustering have mostly focused on homogeneous graphs by ignoring …
methods such as clustering have mostly focused on homogeneous graphs by ignoring …
Mining Small Subgraphs in Massive Graphs
Y Santoso - 2023 - dspace.library.uvic.ca
Graph or network analysis is a much needed method of analysis as it can reveal some
insights that will not be obvious through other methods. In a graph, entities are represented …
insights that will not be obvious through other methods. In a graph, entities are represented …