Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: An Introduction to Temporal Graphs: An Algorithmic Perspective   A \emph{temporal graph} is, informally speaking, a graph that changes with
time. When time is discrete and only the relationships between the
participating entities may change and not the entities themselves, a temporal
graph may be viewed as a sequence $G_1,G_2\ldots,G_l$ of static graphs over the
same (static) set of nodes $V$. Though static graphs have been extensively
studied, for their temporal generalization we are still far from having a
concrete set of structural and algorithmic principles. Recent research shows
that many graph properties and problems become radically different and usually
substantially more difficult when an extra time dimension in added to them.
Moreover, there is already a rich and rapidly growing set of modern systems and
applications that can be naturally modeled and studied via temporal graphs.
This, further motivates the need for the development of a temporal extension of
graph theory. We survey here recent results on temporal graphs and temporal
graph problems that have appeared in the Computer Science community.

2
The categories of this paper are: math
9
The categories of this paper are: nlin
26
The categories of this paper are: bayes-an
33
The categories of this paper are: plasm-ph
14
The categories of this paper are: math-ph
3
The categories of this paper are: physics
30
The categories of this paper are: q-alg
32
The categories of this paper are: atom-ph
20
The categories of this paper are: acc-phys
15
The categories of this paper are: nucl-ex
12
The categories of this paper are: nucl-th
18
The categories of this paper are: econ
27
The categories of this paper are: comp-gas
24
The categories of this paper are: dg-ga
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The categories of this paper are: hep-lat
13
The categories of this paper are: quant-ph