Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Overcoming Oversmoothness in Graph Convolutional Networks via Hybrid
  Scattering Networks   Geometric deep learning (GDL) has made great strides towards generalizing the
design of structure-aware neural network architectures from traditional domains
to non-Euclidean ones, such as graphs. This gave rise to graph neural network
(GNN) models that can be applied to graph-structured datasets arising, for
example, in social networks, biochemistry, and material science. Graph
convolutional networks (GCNs) in particular, inspired by their Euclidean
counterparts, have been successful in processing graph data by extracting
structure-aware features. However, current GNN models (and GCNs in particular)
are known to be constrained by various phenomena that limit their expressive
power and ability to generalize to more complex graph datasets. Most models
essentially rely on low-pass filtering of graph signals via local averaging
operations, thus leading to oversmoothing. Here, we propose a hybrid GNN
framework that combines traditional GCN filters with band-pass filters defined
via the geometric scattering transform. We further introduce an attention
framework that allows the model to locally attend over the combined information
from different GNN filters at the node level. Our theoretical results establish
the complementary benefits of the scattering filters to leverage structural
information from the graph, while our experiments show the benefits of our
method on various learning tasks.

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The categories of this paper are: dg-ga
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The categories of this paper are: acc-phys
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The categories of this paper are: hep-lat
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The categories of this paper are: supr-con
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The categories of this paper are: solv-int
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The categories of this paper are: quant-ph
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The categories of this paper are: astro-ph
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The categories of this paper are: nlin
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The categories of this paper are: hep-ex
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The categories of this paper are: econ
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The categories of this paper are: q-fin
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The categories of this paper are: ao-sci
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The categories of this paper are: hep-th
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The categories of this paper are: q-alg
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The categories of this paper are: cond-mat
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The categories of this paper are: chem-ph