15 citations · 32 across the 3 of their papers we have counts for
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cs.LG2022★ 15 cited
BatmanNet: Bi-branch Masked Graph Transformer Autoencoder for Molecular Representation
Zhen Wang, Zheng Feng, Yanjun Li +5
Although substantial efforts have been made using graph neural networks (GNNs) for AI-driven drug discovery (AIDD), effective molecular representation learning remains an open chal…
cs.LG2020★ 3 cited
PRI-VAE: Principle-of-Relevant-Information Variational Autoencoders
Yanjun Li, Shujian Yu, Jose C. Principe +2
Although substantial efforts have been made to learn disentangled representations under the variational autoencoder (VAE) framework, the fundamental properties to the dynamics of l…