Learning Network Representations
3 papers with code • 0 benchmarks • 0 datasets
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Latest papers
MFNets: Data efficient all-at-once learning of multifidelity surrogates as directed networks of information sources
We present an approach for constructing a surrogate from ensembles of information sources of varying cost and accuracy.
Visualization and Interpretation of Latent Spaces for Controlling Expressive Speech Synthesis through Audio Analysis
noetits/ICE-Talk
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The field of Text-to-Speech has experienced huge improvements last years benefiting from deep learning techniques.
NetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in Dynamic Networks
chengw07/NetWalk
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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.
