Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Representation Learning with Ordered Relation Paths for Knowledge Graph
  Completion   Incompleteness is a common problem for existing knowledge graphs (KGs), and
the completion of KG which aims to predict links between entities is
challenging. Most existing KG completion methods only consider the direct
relation between nodes and ignore the relation paths which contain useful
information for link prediction. Recently, a few methods take relation paths
into consideration but pay less attention to the order of relations in paths
which is important for reasoning. In addition, these path-based models always
ignore nonlinear contributions of path features for link prediction. To solve
these problems, we propose a novel KG completion method named OPTransE. Instead
of embedding both entities of a relation into the same latent space as in
previous methods, we project the head entity and the tail entity of each
relation into different spaces to guarantee the order of relations in the path.
Meanwhile, we adopt a pooling strategy to extract nonlinear and complex
features of different paths to further improve the performance of link
prediction. Experimental results on two benchmark datasets show that the
proposed model OPTransE performs better than state-of-the-art methods.

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The categories of this paper are: hep-ph
17
The categories of this paper are: q-fin
13
The categories of this paper are: quant-ph
25
The categories of this paper are: patt-sol
37
The categories of this paper are: supr-con
15
The categories of this paper are: nucl-ex
36
The categories of this paper are: cmp-lg
23
The categories of this paper are: solv-int
8
The categories of this paper are: hep-ex
6
The categories of this paper are: astro-ph
14
The categories of this paper are: math-ph
16
The categories of this paper are: stat
24
The categories of this paper are: dg-ga
31
The categories of this paper are: ao-sci
33
The categories of this paper are: plasm-ph
21
The categories of this paper are: adap-org