Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Graph Data Augmentation Strategy with Entropy Preserving   The Graph Convolutional Networks (GCNs) proposed by Kipf and Welling are
effective models for semi-supervised learning, but facing the obstacle of
over-smoothing, which will weaken the representation ability of GCNs. Recently
some works are proposed to tackle with above limitation by randomly perturbing
graph topology or feature matrix to generate data augmentations as input for
training. However, these operations have to pay the price of information
structure integrity breaking, and inevitably sacrifice information
stochastically from original graph. In this paper, we introduce a novel graph
entropy definition as an quantitative index to evaluate feature information
diffusion among a graph. Under considerations of preserving graph entropy, we
propose an effective strategy to generate perturbed training data using a
stochastic mechanism but guaranteeing graph topology integrity and with only a
small amount of graph entropy decaying. Extensive experiments have been
conducted on real-world datasets and the results verify the effectiveness of
our proposed method in improving semi-supervised node classification accuracy
compared with a surge of baselines. Beyond that, our proposed approach
significantly enhances the robustness and generalization ability of GCNs during
the training process.

26
The categories of this paper are: bayes-an
34
The categories of this paper are: chem-ph
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The categories of this paper are: comp-gas
12
The categories of this paper are: nucl-th
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The categories of this paper are: alg-geom
32
The categories of this paper are: atom-ph
33
The categories of this paper are: plasm-ph
17
The categories of this paper are: q-fin
9
The categories of this paper are: nlin
10
The categories of this paper are: q-bio
36
The categories of this paper are: cmp-lg
14
The categories of this paper are: math-ph
6
The categories of this paper are: astro-ph
37
The categories of this paper are: supr-con
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The categories of this paper are: stat
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The categories of this paper are: funct-an