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PLAM: A Plug-in Module for Flexible Graph Attention Learning
In this paper, we propose a simple Plug-in Attention Module (PLAM) to improve the representation power of GCNs, inspired by the recent success of the query-key mechanism in computer vision and natural language processing.
Xuran Pan
,
Shiji Song
,
Yiming Chen
,
Liejun Wang
,
Gao Huang
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Regularizing Deep Networks with Semantic Data Augmentation
In this paper, we propose a novel semantic data augmentation (ISDA) algorithm to complement traditional approaches. In fact, we show that the proposed implicit semantic data augmentation (ISDA) algorithm amounts to minimizing a novel robust CE loss, which adds minimal extra computational cost to a normal training procedure.
Yulin Wang
,
Gao Huang
,
Shiji Song
,
Xuran Pan
,
Yitong Xia
,
Cheng Wu
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