Learning Network Representations

3 papers with code • 0 benchmarks • 0 datasets

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Most implemented papers

NetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in Dynamic Networks

chengw07/NetWalk ACM SIGKDD International Conference on Knowledge Discovery & Data Mining 2018

In this paper, we propose a novel approach, NetWalk, for anomaly detection in dynamic networks by learning network representations which can be updated dynamically as the network evolves.

Visualization and Interpretation of Latent Spaces for Controlling Expressive Speech Synthesis through Audio Analysis

noetits/ICE-Talk 27 Mar 2019

The field of Text-to-Speech has experienced huge improvements last years benefiting from deep learning techniques.

MFNets: Data efficient all-at-once learning of multifidelity surrogates as directed networks of information sources

goroda/MFNetsSurrogates 3 Aug 2020

We present an approach for constructing a surrogate from ensembles of information sources of varying cost and accuracy.