Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: TransGCN:Coupling Transformation Assumptions with Graph Convolutional
  Networks for Link Prediction   Link prediction is an important and frequently studied task that contributes
to an understanding of the structure of knowledge graphs (KGs) in statistical
relational learning. Inspired by the success of graph convolutional networks
(GCN) in modeling graph data, we propose a unified GCN framework, named
TransGCN, to address this task, in which relation and entity embeddings are
learned simultaneously. To handle heterogeneous relations in KGs, we introduce
a novel way of representing heterogeneous neighborhood by introducing
transformation assumptions on the relationship between the subject, the
relation, and the object of a triple. Specifically, a relation is treated as a
transformation operator transforming a head entity to a tail entity. Both
translation assumption in TransE and rotation assumption in RotatE are explored
in our framework. Additionally, instead of only learning entity embeddings in
the convolution-based encoder while learning relation embeddings in the decoder
as done by the state-of-art models, e.g., R-GCN, the TransGCN framework trains
relation embeddings and entity embeddings simultaneously during the graph
convolution operation, thus having fewer parameters compared with R-GCN.
Experiments show that our models outperform the-state-of-arts methods on both
FB15K-237 and WN18RR.

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The categories of this paper are: plasm-ph
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The categories of this paper are: nucl-ex
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The categories of this paper are: hep-ph
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The categories of this paper are: alg-geom
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The categories of this paper are: ao-sci
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The categories of this paper are: chao-dyn
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The categories of this paper are: patt-sol
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The categories of this paper are: math
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The categories of this paper are: cond-mat
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The categories of this paper are: q-fin
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The categories of this paper are: hep-th
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The categories of this paper are: quant-ph
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The categories of this paper are: chem-ph
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The categories of this paper are: astro-ph
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The categories of this paper are: solv-int
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The categories of this paper are: hep-lat