Related to your query, I suggest you to follow https://arxiv.org/pdf/1904.11567.pdf
https://arxiv.org/pdf/1403.6652.pdf%C3%AF%C2%BC%E2%80%BA
https://arxiv.org/pdf/1403.6652.pdf%C3%AF%C2%BC%E2%80%BA
Current trade-off variant of GAN likes: CycleGAN, StarGAN, Attention GAN, StarGAN++ all this architecture have bottleneck concept.
Conference Paper Deep Learning of Representations for Unsupervised and Transf...
Conference Paper node2vec: Scalable Feature Learning for Networks
Conference Paper GraRep
https://arxiv.org/pdf/1503.03578.pdf%C3%AF%C2%BC%E2%80%BA
https://papers.nips.cc/paper/6703-inductive-representation-learning-on-large-graphs.pdf
http://library.usc.edu.ph/ACM/KKD%202017/pdfs/p135.pdf
https://arxiv.org/pdf/1904.11567
http://www.cs.toronto.edu/~nitish/nitish_thesis.pdf
Article Latent feature representation with stacked auto-encoder for ...
This code and papers can help you understanding how unsupervised deep learning models exploits the concept of latent representations
Conference Paper Leveraging Deep Learning Models for Ransomware Detection in ...
Conference Paper Industrial Internet of Things Based Ransomware Detection usi...
Code Python code Deep Stacked Varitional Neural Network
best of luck
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