Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Scalable and Adaptive Graph Neural Networks with Self-Label-Enhanced
  training   It is hard to directly implement Graph Neural Networks (GNNs) on large scaled
graphs. Besides of existed neighbor sampling techniques, scalable methods
decoupling graph convolutions and other learnable transformations into
preprocessing and post classifier allow normal minibatch training. By replacing
redundant concatenation operation with attention mechanism in SIGN, we propose
Scalable and Adaptive Graph Neural Networks (SAGN). SAGN can adaptively gather
neighborhood information among different hops. To further improve scalable
models on semi-supervised learning tasks, we propose Self-Label-Enhance (SLE)
framework combining self-training approach and label propagation in depth. We
add base model with a scalable node label module. Then we iteratively train
models and enhance train set in several stages. To generate input of node label
module, we directly apply label propagation based on one-hot encoded label
vectors without inner random masking. We find out that empirically the label
leakage has been effectively alleviated after graph convolutions. The hard
pseudo labels in enhanced train set participate in label propagation with true
labels. Experiments on both inductive and transductive datasets demonstrate
that, compared with other sampling-based and sampling-free methods, SAGN
achieves better or comparable results and SLE can further improve performance.

17
The categories of this paper are: q-fin
11
The categories of this paper are: hep-lat
30
The categories of this paper are: q-alg
12
The categories of this paper are: nucl-th
28
The categories of this paper are: alg-geom
8
The categories of this paper are: hep-ex
15
The categories of this paper are: nucl-ex
7
The categories of this paper are: hep-th
26
The categories of this paper are: bayes-an
6
The categories of this paper are: astro-ph
29
The categories of this paper are: funct-an
13
The categories of this paper are: quant-ph
31
The categories of this paper are: ao-sci
10
The categories of this paper are: q-bio
0
The categories of this paper are: hep-ph
34
The categories of this paper are: chem-ph