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08/22/2019
From Community to Role-based Graph Embeddings
Roles are sets of structurally similar nodes that are more similar to no...
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04/12/2019
Temporal Network Representation Learning
Networks evolve continuously over time with the addition, deletion, and ...
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09/12/2018
Higher-order Graph Convolutional Networks
Following the success of deep convolutional networks in various vision a...
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07/20/2018
Attention Models in Graphs: A Survey
Graph-structured data arise naturally in many different application doma...
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02/07/2018
Learning Role-based Graph Embeddings
Random walks are at the heart of many existing network embedding methods...
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10/25/2017
Inductive Representation Learning in Large Attributed Graphs
Graphs (networks) are ubiquitous and allow us to model entities (nodes) ...
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09/15/2017
Deep Graph Attention Model
Graph classification is a problem with practical applications in many di...
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09/14/2017
A Framework for Generalizing Graph-based Representation Learning Methods
Random walks are at the heart of many existing deep learning algorithms ...
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09/06/2016
