Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Graph Residual Flow for Molecular Graph Generation   Statistical generative models for molecular graphs attract attention from
many researchers from the fields of bio- and chemo-informatics. Among these
models, invertible flow-based approaches are not fully explored yet. In this
paper, we propose a powerful invertible flow for molecular graphs, called graph
residual flow (GRF). The GRF is based on residual flows, which are known for
more flexible and complex non-linear mappings than traditional coupling flows.
We theoretically derive non-trivial conditions such that GRF is invertible, and
present a way of keeping the entire flows invertible throughout the training
and sampling. Experimental results show that a generative model based on the
proposed GRF achieves comparable generation performance, with much smaller
number of trainable parameters compared to the existing flow-based model.

24
The categories of this paper are: dg-ga
7
The categories of this paper are: hep-th
11
The categories of this paper are: hep-lat
32
The categories of this paper are: atom-ph
6
The categories of this paper are: astro-ph
9
The categories of this paper are: nlin
22
The categories of this paper are: chao-dyn
5
The categories of this paper are: gr-qc
33
The categories of this paper are: plasm-ph
3
The categories of this paper are: physics
27
The categories of this paper are: comp-gas
35
The categories of this paper are: mtrl-th
18
The categories of this paper are: econ
21
The categories of this paper are: adap-org
20
The categories of this paper are: acc-phys
4
The categories of this paper are: cond-mat