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most citedAre randomly grown graphs really random?

453 citations · 1.5k across the 44 of their papers we have counts for

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Showing 2015Show all

7 papers · 1 filter

cs.SI2015

The Lifecycle and Cascade of WeChat Social Messaging Groups

Jiezhong Qiu, Yixuan Li, Jie Tang +5

Social instant messaging services are emerging as a transformative form with which people connect, communicate with friends in their daily life - they catalyze the formation of soc…

cs.LG2015★ 139 cited

Convergent Learning: Do different neural networks learn the same representations?

Yixuan Li, Jason Yosinski, Jeff Clune +2

Recent success in training deep neural networks have prompted active investigation into the features learned on their intermediate layers. Such research is difficult because it req…

cs.LG2015★ 61 cited

Deep Manifold Traversal: Changing Labels with Convolutional Features

Jacob R. Gardner, Paul Upchurch, Matt J. Kusner +4

Many tasks in computer vision can be cast as a "label changing" problem, where the goal is to make a semantic change to the appearance of an image or some subject in an image in or…

cs.SI2015★ 18 cited

Detecting Overlapping Communities from Local Spectral Subspaces

Kun He, Yiwei Sun, David Bindel +2

Based on the definition of local spectral subspace, we propose a novel approach called LOSP for local overlapping community detection. Instead of using the invariant subspace spann…

cs.SI2015★ 6 cited

Overlapping Community Detection via Local Spectral Clustering

Yixuan Li, Kun He, David Bindel +1

Large graphs arise in a number of contexts and understanding their structure and extracting information from them is an important research area. Early algorithms on mining communit…

cs.SI2015★ 27 cited

Uncovering the Small Community Structure in Large Networks: A Local Spectral Approach

Yixuan Li, Kun He, David Bindel +1

Large graphs arise in a number of contexts and understanding their structure and extracting information from them is an important research area. Early algorithms on mining communit…

cs.SI2015★ 27 cited

Revealing Multiple Layers of Hidden Community Structure in Networks

Kun He, Sucheta Soundarajan, Xuezhi Cao +2

We introduce a new conception of community structure, which we refer to as hidden community structure. Hidden community structure refers to a specific type of overlapping community…