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20122024
most citedCommunity Detection in Networks with Node Attributes

575 citations · 713 across the 9 of their papers we have counts for

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Showing cs.SIShow all

5 papers · 1 filter

cs.SI2019★ 2 cited

Representation Learning in Heterogeneous Professional Social Networks with Ambiguous Social Connections

Baoxu Shi, Jaewon Yang, Tim Weninger +2

Network representations have been shown to improve performance within a variety of tasks, including classification, clustering, and link prediction. However, most models either foc…

cs.SI2014★ 36 cited

Detecting Cohesive and 2-mode Communities in Directed and Undirected Networks

Jaewon Yang, Julian McAuley, Jure Leskovec

Networks are a general language for representing relational information among objects. An effective way to model, reason about, and summarize networks, is to discover sets of nodes…

cs.SI2014★ 575 cited

Community Detection in Networks with Node Attributes

Jaewon Yang, Julian McAuley, Jure Leskovec

Community detection algorithms are fundamental tools that allow us to uncover organizational principles in networks. When detecting communities, there are two possible sources of i…

cs.SI2012★ 6 cited

Defining and Evaluating Network Communities based on Ground-truth

Jaewon Yang, Jure Leskovec

Nodes in real-world networks organize into densely linked communities where edges appear with high concentration among the members of the community. Identifying such communities of…

cs.SI2012★ 44 cited

Structure and Overlaps of Communities in Networks

Jaewon Yang, Jure Leskovec

One of the main organizing principles in real-world social, information and technological networks is that of network communities, where sets of nodes organize into densely linked…