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09/16/2022
A Systematic Evaluation of Node Embedding Robustness
Node embedding methods map network nodes to low dimensional vectors that...
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05/19/2020
CSNE: Conditional Signed Network Embedding
Signed networks are mathematical structures that encode positive and neg...
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02/25/2020
Network Representation Learning for Link Prediction: Are we improving upon simple heuristics?
Network representation learning has become an active research area in re...
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02/14/2020
Scalable Dyadic Independence Models with Local and Global Constraints
An important challenge in the field of exponential random graphs (ERGs) ...
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01/28/2019
Semi-supervised Learning in Network-Structured Data via Total Variation Minimization
We propose and analyze a method for semi-supervised learning from partia...
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09/03/2017
Recovery Conditions and Sampling Strategies for Network Lasso
The network Lasso is a recently proposed convex optimization method for ...
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04/07/2017