Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Residual Enhanced Multi-Hypergraph Neural Network   Hypergraphs are a generalized data structure of graphs to model higher-order
correlations among entities, which have been successfully adopted into various
research domains. Meanwhile, HyperGraph Neural Network (HGNN) is currently the
de-facto method for hypergraph representation learning. However, HGNN aims at
single hypergraph learning and uses a pre-concatenation approach when
confronting multi-modal datasets, which leads to sub-optimal exploitation of
the inter-correlations of multi-modal hypergraphs. HGNN also suffers the
over-smoothing issue, that is, its performance drops significantly when layers
are stacked up. To resolve these issues, we propose the Residual enhanced
Multi-Hypergraph Neural Network, which can not only fuse multi-modal
information from each hypergraph effectively, but also circumvent the
over-smoothing issue associated with HGNN. We conduct experiments on two 3D
benchmarks, the NTU and the ModelNet40 datasets, and compare against multiple
state-of-the-art methods. Experimental results demonstrate that both the
residual hypergraph convolutions and the multi-fusion architecture can improve
the performance of the base model and the combined model achieves a new
state-of-the-art. Code is available at
\url{https://github.com/OneForward/ResMHGNN}.

15
The categories of this paper are: nucl-ex
30
The categories of this paper are: q-alg
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The categories of this paper are: quant-ph
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The categories of this paper are: adap-org
31
The categories of this paper are: ao-sci
26
The categories of this paper are: bayes-an
8
The categories of this paper are: hep-ex
25
The categories of this paper are: patt-sol
37
The categories of this paper are: supr-con
6
The categories of this paper are: astro-ph
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The categories of this paper are: math-ph
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The categories of this paper are: solv-int
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The categories of this paper are: dg-ga
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The categories of this paper are: stat
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The categories of this paper are: nucl-th
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The categories of this paper are: hep-th