Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Disentangle VAE for Molecular Generation   Automatic molecule generation plays an important role on drug discovery and
has received a great deal of attention in recent years thanks to deep learning
successful use. Graph-based neural network represents state of the art methods
on automatic molecule generation. However, it is still challenging to generate
molecule with desired properties, which is a core task in drug discovery. In
this paper, we focus on this task and propose a Controllable Junction Tree
Variational Autoencoder (C JTVAE), adding an extractor module into VAE
framework to describe some properties of molecule. Our method is able to
generate similar molecular with desired property given an input molecule.
Experimental results is encouraging.

13
The categories of this paper are: quant-ph
7
The categories of this paper are: hep-th
3
The categories of this paper are: physics
22
The categories of this paper are: chao-dyn
32
The categories of this paper are: atom-ph
25
The categories of this paper are: patt-sol
2
The categories of this paper are: math
4
The categories of this paper are: cond-mat
29
The categories of this paper are: funct-an
30
The categories of this paper are: q-alg
35
The categories of this paper are: mtrl-th
6
The categories of this paper are: astro-ph
27
The categories of this paper are: comp-gas
31
The categories of this paper are: ao-sci
19
The categories of this paper are: eess
21
The categories of this paper are: adap-org