Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Gossip and Attend: Context-Sensitive Graph Representation Learning   Graph representation learning (GRL) is a powerful technique for learning
low-dimensional vector representation of high-dimensional and often sparse
graphs. Most studies explore the structure and metadata associated with the
graph using random walks and employ an unsupervised or semi-supervised learning
schemes. Learning in these methods is context-free, resulting in only a single
representation per node. Recently studies have argued on the adequacy of a
single representation and proposed context-sensitive approaches, which are
capable of extracting multiple node representations for different contexts.
This proved to be highly effective in applications such as link prediction and
ranking.
  However, most of these methods rely on additional textual features that
require complex and expensive RNNs or CNNs to capture high-level features or
rely on a community detection algorithm to identify multiple contexts of a
node.
  In this study we show that in-order to extract high-quality context-sensitive
node representations it is not needed to rely on supplementary node features,
nor to employ computationally heavy and complex models. We propose GOAT, a
context-sensitive algorithm inspired by gossip communication and a mutual
attention mechanism simply over the structure of the graph. We show the
efficacy of GOAT using 6 real-world datasets on link prediction and node
clustering tasks and compare it against 12 popular and state-of-the-art (SOTA)
baselines. GOAT consistently outperforms them and achieves up to 12% and 19%
gain over the best performing methods on link prediction and clustering tasks,
respectively.

34
The categories of this paper are: chem-ph
10
The categories of this paper are: q-bio
32
The categories of this paper are: atom-ph
19
The categories of this paper are: eess
35
The categories of this paper are: mtrl-th
7
The categories of this paper are: hep-th
21
The categories of this paper are: adap-org
18
The categories of this paper are: econ
30
The categories of this paper are: q-alg
5
The categories of this paper are: gr-qc
37
The categories of this paper are: supr-con
3
The categories of this paper are: physics
28
The categories of this paper are: alg-geom
2
The categories of this paper are: math
23
The categories of this paper are: solv-int
9
The categories of this paper are: nlin