Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Binary Graph Neural Networks   Graph Neural Networks (GNNs) have emerged as a powerful and flexible
framework for representation learning on irregular data. As they generalize the
operations of classical CNNs on grids to arbitrary topologies, GNNs also bring
much of the implementation challenges of their Euclidean counterparts. Model
size, memory footprint, and energy consumption are common concerns for many
real-world applications. Network binarization allocates a single bit to
parameters and activations, thus dramatically reducing the memory requirements
(up to 32x compared to single-precision floating-point numbers) and maximizing
the benefits of fast SIMD instructions on modern hardware for measurable
speedups. However, in spite of the large body of work on binarization for
classical CNNs, this area remains largely unexplored in geometric deep
learning. In this paper, we present and evaluate different strategies for the
binarization of graph neural networks. We show that through careful design of
the models, and control of the training process, binary graph neural networks
can be trained at only a moderate cost in accuracy on challenging benchmarks.
In particular, we present the first dynamic graph neural network in Hamming
space, able to leverage efficient k-NN search on binary vectors to speed-up the
construction of the dynamic graph. We further verify that the binary models
offer significant savings on embedded devices. Our code is publicly available
on Github.

31
The categories of this paper are: ao-sci
2
The categories of this paper are: math
32
The categories of this paper are: atom-ph
29
The categories of this paper are: funct-an
13
The categories of this paper are: quant-ph
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
8
The categories of this paper are: hep-ex
7
The categories of this paper are: hep-th
36
The categories of this paper are: cmp-lg
5
The categories of this paper are: gr-qc
0
The categories of this paper are: hep-ph
30
The categories of this paper are: q-alg
37
The categories of this paper are: supr-con
3
The categories of this paper are: physics