Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Wireless Power Control via Counterfactual Optimization of Graph Neural
  Networks   We consider the problem of downlink power control in wireless networks,
consisting of multiple transmitter-receiver pairs communicating with each other
over a single shared wireless medium. To mitigate the interference among
concurrent transmissions, we leverage the network topology to create a graph
neural network architecture, and we then use an unsupervised primal-dual
counterfactual optimization approach to learn optimal power allocation
decisions. We show how the counterfactual optimization technique allows us to
guarantee a minimum rate constraint, which adapts to the network size, hence
achieving the right balance between average and $5^{th}$ percentile user rates
throughout a range of network configurations.

11
The categories of this paper are: hep-lat
6
The categories of this paper are: astro-ph
17
The categories of this paper are: q-fin
7
The categories of this paper are: hep-th
5
The categories of this paper are: gr-qc
22
The categories of this paper are: chao-dyn
15
The categories of this paper are: nucl-ex
34
The categories of this paper are: chem-ph
20
The categories of this paper are: acc-phys
4
The categories of this paper are: cond-mat
12
The categories of this paper are: nucl-th
27
The categories of this paper are: comp-gas
26
The categories of this paper are: bayes-an
37
The categories of this paper are: supr-con
3
The categories of this paper are: physics
35
The categories of this paper are: mtrl-th