Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: DynamicGEM: A Library for Dynamic Graph Embedding Methods   DynamicGEM is an open-source Python library for learning node representations
of dynamic graphs. It consists of state-of-the-art algorithms for defining
embeddings of nodes whose connections evolve over time. The library also
contains the evaluation framework for four downstream tasks on the network:
graph reconstruction, static and temporal link prediction, node classification,
and temporal visualization. We have implemented various metrics to evaluate the
state-of-the-art methods, and examples of evolving networks from various
domains. We have easy-to-use functions to call and evaluate the methods and
have extensive usage documentation. Furthermore, DynamicGEM provides a template
to add new algorithms with ease to facilitate further research on the topic.

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The categories of this paper are: acc-phys
30
The categories of this paper are: q-alg
13
The categories of this paper are: quant-ph
23
The categories of this paper are: solv-int
12
The categories of this paper are: nucl-th
3
The categories of this paper are: physics
21
The categories of this paper are: adap-org
32
The categories of this paper are: atom-ph
22
The categories of this paper are: chao-dyn
10
The categories of this paper are: q-bio
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The categories of this paper are: econ
34
The categories of this paper are: chem-ph
25
The categories of this paper are: patt-sol
6
The categories of this paper are: astro-ph
33
The categories of this paper are: plasm-ph
31
The categories of this paper are: ao-sci