Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: SNE: Signed Network Embedding   Several network embedding models have been developed for unsigned networks.
However, these models based on skip-gram cannot be applied to signed networks
because they can only deal with one type of link. In this paper, we present our
signed network embedding model called SNE. Our SNE adopts the log-bilinear
model, uses node representations of all nodes along a given path, and further
incorporates two signed-type vectors to capture the positive or negative
relationship of each edge along the path. We conduct two experiments, node
classification and link prediction, on both directed and undirected signed
networks and compare with four baselines including a matrix factorization
method and three state-of-the-art unsigned network embedding models. The
experimental results demonstrate the effectiveness of our signed network
embedding.

24
The categories of this paper are: dg-ga
7
The categories of this paper are: hep-th
6
The categories of this paper are: astro-ph
28
The categories of this paper are: alg-geom
18
The categories of this paper are: econ
4
The categories of this paper are: cond-mat
27
The categories of this paper are: comp-gas
5
The categories of this paper are: gr-qc
17
The categories of this paper are: q-fin
33
The categories of this paper are: plasm-ph
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The categories of this paper are: ao-sci
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The categories of this paper are: adap-org
9
The categories of this paper are: nlin
13
The categories of this paper are: quant-ph
36
The categories of this paper are: cmp-lg
10
The categories of this paper are: q-bio