Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: GRADE: Graph Dynamic Embedding   Representation learning of static and more recently dynamically evolving
graphs has gained noticeable attention. Existing approaches for modelling graph
dynamics focus extensively on the evolution of individual nodes independently
of the evolution of mesoscale community structures. As a result, current
methods do not provide useful tools to study and cannot explicitly capture
temporal community dynamics. To address this challenge, we propose GRADE - a
probabilistic model that learns to generate evolving node and community
representations by imposing a random walk prior over their trajectories. Our
model also learns node community membership which is updated between time steps
via a transition matrix. At each time step link generation is performed by
first assigning node membership from a distribution over the communities, and
then sampling a neighbor from a distribution over the nodes for the assigned
community. We parametrize the node and community distributions with neural
networks and learn their parameters via variational inference. Experiments
demonstrate GRADE outperforms baselines in dynamic link prediction, shows
favourable performance on dynamic community detection, and identifies coherent
and interpretable evolving communities.

24
The categories of this paper are: dg-ga
4
The categories of this paper are: cond-mat
12
The categories of this paper are: nucl-th
2
The categories of this paper are: math
33
The categories of this paper are: plasm-ph
11
The categories of this paper are: hep-lat
17
The categories of this paper are: q-fin
10
The categories of this paper are: q-bio
30
The categories of this paper are: q-alg
14
The categories of this paper are: math-ph
18
The categories of this paper are: econ
27
The categories of this paper are: comp-gas
15
The categories of this paper are: nucl-ex
31
The categories of this paper are: ao-sci
37
The categories of this paper are: supr-con
20
The categories of this paper are: acc-phys