Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: DeepABM: Scalable, efficient and differentiable agent-based simulations
  via graph neural networks   We introduce DeepABM, a framework for agent-based modeling that leverages
geometric message passing of graph neural networks for simulating action and
interactions over large agent populations. Using DeepABM allows scaling
simulations to large agent populations in real-time and running them
efficiently on GPU architectures. To demonstrate the effectiveness of DeepABM,
we build DeepABM-COVID simulator to provide support for various
non-pharmaceutical interventions (quarantine, exposure notification,
vaccination, testing) for the COVID-19 pandemic, and can scale to populations
of representative size in real-time on a GPU. Specifically, DeepABM-COVID can
model 200 million interactions (over 100,000 agents across 180 time-steps) in
90 seconds, and is made available online to help researchers with modeling and
analysis of various interventions. We explain various components of the
framework and discuss results from one research study to evaluate the impact of
delaying the second dose of the COVID-19 vaccine in collaboration with clinical
and public health experts. While we simulate COVID-19 spread, the ideas
introduced in the paper are generic and can be easily extend to other forms of
agent-based simulations. Furthermore, while beyond scope of this document,
DeepABM enables inverse agent-based simulations which can be used to learn
physical parameters in the (micro) simulations using gradient-based
optimization with large-scale real-world (macro) data. We are optimistic that
the current work can have interesting implications for bringing ABM and AI
communities closer.

20
The categories of this paper are: acc-phys
19
The categories of this paper are: eess
21
The categories of this paper are: adap-org
10
The categories of this paper are: q-bio
27
The categories of this paper are: comp-gas
13
The categories of this paper are: quant-ph
11
The categories of this paper are: hep-lat
18
The categories of this paper are: econ
9
The categories of this paper are: nlin
23
The categories of this paper are: solv-int
16
The categories of this paper are: stat
33
The categories of this paper are: plasm-ph
28
The categories of this paper are: alg-geom
15
The categories of this paper are: nucl-ex
35
The categories of this paper are: mtrl-th
36
The categories of this paper are: cmp-lg