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Keyword

over-smoothing

Description: The loss of distinguishing information as repeated neighborhood aggregation makes graph neural network node representations increasingly alike.
OpenAlex ID: keywords/over-smoothing
Deeper Insights Into Graph Convolutional Networks for Semi-Supervised Learning
2018 · Qimai Li, Zhichao Han, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2,703
Model-Based Geostatistics
1998 · P. J. Diggle, J. A. Tawn, et al. · Journal of the Royal Statistical Society Series C (Applied Statistics) · 2,174
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Measuring and Relieving the Over-Smoothing Problem for Graph Neural Networks from the Topological View
2020 · Deli Chen, Yankai Lin, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 1,044
SRDiff: Single image super-resolution with diffusion probabilistic models
2022 · Haoying Li, Yifan Yang, et al. · Neurocomputing · 748
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Revisiting Graph Based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach
2020 · Lei Chen, Le Wu, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 634
DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
2019 · Rong, Yu, Huang, Wenbing, et al. · arXiv (Cornell University) · 607
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Beyond Low-frequency Information in Graph Convolutional Networks
2021 · Deyu Bo, Xiao Wang, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 548
Structural Deep Clustering Network
2020 · Deyu Bo, Xiao Wang, et al. · 535
Wavelet-SRNet: A Wavelet-Based CNN for Multi-scale Face Super Resolution
2017 · Huaibo Huang, Ran He, et al. · IEEE International Conference on Computer Vision (ICCV) · 518
Towards Deeper Graph Neural Networks
2020 · Meng Liu, Hongyang Gao, et al. · ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD) · 507
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Cross-Validation and the Estimation of Conditional Probability Densities
2004 · Peter Hall, Jeff Racine, et al. · Journal of the American Statistical Association · 487
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Hypergraph Contrastive Collaborative Filtering
2022 · Lianghao Xia, Chao Huang, et al. · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 445
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A Speech Parameter Generation Algorithm Considering Global Variance for HMM-Based Speech Synthesis
2007 · T. TODA, K. TOKUDA · IEICE Transactions on Information and Systems · 358
Simple and Deep Graph Convolutional Networks
2020 · Chen, Ming, Wei, Zhewei, et al. · arXiv (Cornell University) · 355
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Hidden Markov Models and Disease Mapping
2002 · Peter J Green, Sylvia Richardson · Journal of the American Statistical Association · 347
CycleGAN-VC: Non-parallel Voice Conversion Using Cycle-Consistent Adversarial Networks
2018 · Takuhiro Kaneko, Hirokazu Kameoka · European Signal Processing Conference (EUSIPCO) · 344
Bandwidth selection: classical or plug-in?
1999 · Clive R. Loader · The Annals of Statistics · 339
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Motion-Compensated Frame Interpolation Using Bilateral Motion Estimation and Adaptive Overlapped Block Motion Compensation
2007 · Byeong-Doo Choi, Jong-Woo Han, et al. · IEEE Transactions on Circuits and Systems for Video Technology · 307
Coverage Properties of Confidence Intervals for Generalized Additive Model Components
2012 · GIAMPIERO MARRA, SIMON N. WOOD · Scandinavian Journal of Statistics · 304
Interest-aware Message-Passing GCN for Recommendation
2021 · Fan Liu, Zhiyong Cheng, et al. · 299
The influence of interpolation and station network density on the distributions and trends of climate variables in gridded daily data
2009 · Nynke Hofstra, Mark New, et al. · Climate Dynamics · 297
Kernel Smoothing of Data With Correlated Errors
1990 · N. S. Altman · Journal of the American Statistical Association · 297
Regularity-preserving image interpolation
1999 · W.K. Carey, D.B. Chuang, et al. · IEEE Transactions on Image Processing · 288
Implicit Diffusion Models for Continuous Super-Resolution
2023 · Sicheng Gao, Xuhui Liu, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 276
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Spatio-Temporal Statistical Methods for Modelling Land Surface Phenology
2009 · Kirsten M. de Beurs, Geoffrey M. Henebry · Springer eBooks · 248
Works count: 3,493
Citation count: 45,990
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