IEEE

BiAtt-GVAE: Molecular Design for Specific Target via Graph Variational Autoencoder Based on Bi-Channel Interactive Attention Network

Abstract: Designing bioactive molecules with desired properties for specific targets is a longstanding challenge in drug design. We introduce a model called BiAtt-GVAE, which incorporates a ...
IEEE

MVFusion: Generative Representation Learning With Masked Variational Autoencoders for Multi-Modality Image Fusion

Abstract: Creating a comprehensively representative image while maintaining the merits of various modalities is a key focus of current Multi-Modality Image Fusion research. Existing unified methods ...
C&EN

MODAPro: Explainable Heterogeneous Networks with Variational Graph Autoencoder for Mining Disease-Specific Functional Molecules and Pathways from Omics Data

State Key Laboratory of Medical Proteomics, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, P. R. China University of Chinese Academy of Sciences, Beijing 100049, P.
GitHub

PeriodicWave: Neural Network Variational Monte Carlo for Solids

This repository contains a Monte-Carlo solver to train neural-network variational wavefunction to solve continuous-space Fermi systems [M Geier, K Nazaryan, T Zaklama, L Fu, Phys. Rev. B 112, 045119 ...