TSC: A Simple Two-Sided Constraint against Over-Smoothing-Reference-Cited by-同舟云学术

TSC: A Simple Two-Sided Constraint against Over-Smoothing

Published:2024-08-24 Issue: Volume:29 Page:2376-2387
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Container-title:Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Peng Furong¹^ORCID,Liu Kang¹^ORCID,Lu Xuan²^ORCID,Qian Yuhua¹^ORCID,Yan Hongren¹^ORCID,Ma Chao³^ORCID

Affiliation:

1. Institute of Big Data Science and Industry, Shanxi University & School of Computer and Information Technology, Shanxi University, Taiyuan, Shanxi, China

2. College of Physics and Electronic Engineering, Shanxi University, Taiyuan, Shanxi, China

3. HOPERUN Infomation Technology, Nanjing, Jiangsu, China

Funder

Science and Technology Innovation 2030-New Generation of Artificial Intelligence Major Program

National Natural Science Foundation of China

Fundamental Research Program of Shanxi Province

Science and Technology Major Project of Shanxi

Central guidance for Local scientific and technological development funds

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3637528.3671954

Reference43 articles.

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4. Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton. 2020. A Simple Framework for Contrastive Learning of Visual Representations. In Proceedings of the 37th International Conference on Machine Learning (Proceedings of Machine Learning Research, Vol. 119), Hal Daumé III and Aarti Singh (Eds.). PMLR, 1597--1607.

5. Michaël Defferrard, Xavier Bresson, and Pierre Vandergheynst. 2016. Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering. In Advances in Neural Information Processing Systems,, D. Lee, M. Sugiyama, U. Luxburg, I. Guyon, and R. Garnett (Eds.), Vol. 29. Curran Associates, Inc.