This repository presents an implementation of a Variational Autoencoder (VAE) tailored for the generation ... Advanced VAE architecture optimized for high-dimensional protein structure data. Seamless ...

This ability does not increase further with more complex model structure as shown by the 5-layer VAE. TABLE 3. Variational autoencoder evaluation using MMD and EMD metrics. Variational autoencoder ...

Currently two models are supported, a simple Variational Autoencoder and a Disentangled version (beta-VAE). The model implementations can be found in the src/models directory. These models were ...

To resolve this problem, we first propose a neighborhood geometric structure-preserving variational autoencoder (SP-VAE), which not only maximizes the evidence lower bound but also encourages latent ...

Abstract: Discovering community structure in networks remains a fundamentally ... Hence, this paper proposes Variational Graph Autoencoder for Community Detection (VGAECD). Extensive experiment shows ...

Generating the periodic structure of stable materials is a long-standing ... We propose a Crystal Diffusion Variational Autoencoder (CDVAE) that captures the physical inductive bias of material ...

2 Loop closure detection system architecture based on variational autoencoder Figure 1 shows the structure of the proposed loop closure detection system based on a variational autoencoder. Dividing ...