Aug 20, 2020 · While PE could be used to assess the result of any graph drawing or representation learning method we particularly use it as objective function ...
KDD 2020 | Data Compression as a Comprehensive Framework for ...
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Data Compression as a Comprehensive Framework for Graph Drawing and Representation Learning ... Embedding a graph into feature space is a promising approach to ...
This paper proposes MulticoreGEMPE (Graph Embedding by Minimizing the Predictive Entropy), an information-theoretic method which can generate low and ...
The research communities of graph drawing and representation learning have proposed sophisticated algorithms optimizing diverse goals (for more information ...
Data Compression as a Comprehensive Framework for Graph Drawing and Representation Learning ; Event Location. San Diego, USA (Virtual Conference) ; Event Type.
Bibliographic details on Data Compression as a Comprehensive Framework for Graph Drawing and Representation Learning.
This repository contains Java and C++ implementations of the algorithm GEMPE introduced in the KDD 2020 paper "Data Compression as a Comprehensive Framework ...
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We are happy to announce that our paper "Data Compression as a Comprehensive Framework for Graph Drawing and Representation Learning" has been accepted for ...
Oct 27, 2020 · ... Data Compression as a Comprehensive Framework for Graph Drawing and Representation Learning" by Claudia Plant, Sonja Biedermann and Christian ...
