Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Regional based query in graph active learning   Graph convolution networks (GCN) have emerged as the leading method to
classify node classes in networks, and have reached the highest accuracy in
multiple node classification tasks. In the absence of available tagged samples,
active learning methods have been developed to obtain the highest accuracy
using the minimal number of queries to an oracle. The current best active
learning methods use the sample class uncertainty as selection criteria.
However, in graph based classification, the class of each node is often related
to the class of its neighbors. As such, the uncertainty in the class of a
node's neighbor may be a more appropriate selection criterion. We here propose
two such criteria, one extending the classical uncertainty measure, and the
other extending the page-rank algorithm. We show that the latter is optimal
when the fraction of tagged nodes is low, and when this fraction grows to one
over the average degree, the regional uncertainty performs better than all
existing methods. While we have tested this methods on graphs, such methods can
be extended to any classification problem, where a distance metrics can be
defined between the input samples.
  All the code used can be accessed at : https://github.com/louzounlab/graph-al
  All the datasets used can be accessed at :
https://github.com/louzounlab/DataSets

20
The categories of this paper are: acc-phys
30
The categories of this paper are: q-alg
31
The categories of this paper are: ao-sci
27
The categories of this paper are: comp-gas
18
The categories of this paper are: econ
10
The categories of this paper are: q-bio
14
The categories of this paper are: math-ph
28
The categories of this paper are: alg-geom
29
The categories of this paper are: funct-an
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The categories of this paper are: nucl-ex
35
The categories of this paper are: mtrl-th
4
The categories of this paper are: cond-mat
13
The categories of this paper are: quant-ph
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The categories of this paper are: dg-ga
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The categories of this paper are: solv-int
12
The categories of this paper are: nucl-th