Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Introduction to Neural Network based Approaches for Question Answering
  over Knowledge Graphs   Question answering has emerged as an intuitive way of querying structured
data sources, and has attracted significant advancements over the years. In
this article, we provide an overview over these recent advancements, focusing
on neural network based question answering systems over knowledge graphs. We
introduce readers to the challenges in the tasks, current paradigms of
approaches, discuss notable advancements, and outline the emerging trends in
the field. Through this article, we aim to provide newcomers to the field with
a suitable entry point, and ease their process of making informed decisions
while creating their own QA system.

35
The categories of this paper are: mtrl-th
11
The categories of this paper are: hep-lat
23
The categories of this paper are: solv-int
27
The categories of this paper are: comp-gas
33
The categories of this paper are: plasm-ph
16
The categories of this paper are: stat
24
The categories of this paper are: dg-ga
8
The categories of this paper are: hep-ex
0
The categories of this paper are: hep-ph
6
The categories of this paper are: astro-ph
20
The categories of this paper are: acc-phys
37
The categories of this paper are: supr-con
9
The categories of this paper are: nlin
15
The categories of this paper are: nucl-ex
2
The categories of this paper are: math
30
The categories of this paper are: q-alg