Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Learning Asymmetric Embedding for Attributed Networks via Convolutional
  Neural Network   Recently network embedding has gained increasing attention due to its
advantages in facilitating network computation tasks such as link prediction,
node classification and node clustering. The objective of network embedding is
to represent network nodes in a low-dimensional vector space while retaining as
much information as possible from the original network including structural,
relational, and semantic information. However, asymmetric nature of directed
networks poses many challenges as how to best preserve edge directions in the
embedding process. Here, we propose a novel deep asymmetric attributed network
embedding model based on convolutional graph neural network, called AAGCN. The
main idea is to maximally preserve the asymmetric proximity and asymmetric
similarity of directed attributed networks. AAGCN introduces two neighbourhood
feature aggregation schemes to separately aggregate the features of a node with
the features of its in- and out- neighbours. Then, it learns two embedding
vectors for each node, one source embedding vector and one target embedding
vector. The final representations are the results of concatenating source and
target embedding vectors. We test the performance of AAGCN on three real-world
networks for network reconstruction, link prediction, node classification and
visualization tasks. The experimental results show the superiority of AAGCN
against state-of-the-art embedding methods.

21
The categories of this paper are: adap-org
12
The categories of this paper are: nucl-th
11
The categories of this paper are: hep-lat
4
The categories of this paper are: cond-mat
3
The categories of this paper are: physics
34
The categories of this paper are: chem-ph
15
The categories of this paper are: nucl-ex
5
The categories of this paper are: gr-qc
10
The categories of this paper are: q-bio
7
The categories of this paper are: hep-th
35
The categories of this paper are: mtrl-th
8
The categories of this paper are: hep-ex
0
The categories of this paper are: hep-ph
37
The categories of this paper are: supr-con
20
The categories of this paper are: acc-phys
29
The categories of this paper are: funct-an