Ling Yang | DeepAI

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Featured Co-authors

Yu Liu
160 publications
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Xiaowei Hu
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Muhan Zhang
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Bin Cui
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Shenda Hong
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Wentao Zhang
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Minkai Xu
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Erjin Zhou
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∙ 08/04/2023

VQGraph: Graph Vector-Quantization for Bridging GNNs and MLPs

Graph Neural Networks (GNNs) conduct message passing which aggregates lo...

0 Ling Yang, et al. ∙

∙ 06/28/2023

Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization

Out-of-distribution (OOD) graph generalization are critical for many rea...

0 Ling Yang, et al. ∙

∙ 11/06/2022

The Importance of Suppressing Complete Reconstruction in Autoencoders for Unsupervised Outlier Detection

Autoencoders are widely used in outlier detection due to their superiori...

0 Yafei Shen, et al. ∙

∙ 09/02/2022

Diffusion Models: A Comprehensive Survey of Methods and Applications

Diffusion models are a class of deep generative models that have shown i...

256 Ling Yang, et al. ∙

∙ 05/31/2022

Omni-Granular Ego-Semantic Propagation for Self-Supervised Graph Representation Learning

Unsupervised/self-supervised graph representation learning is critical f...

6 Ling Yang, et al. ∙

∙ 05/20/2022

Cross Reconstruction Transformer for Self-Supervised Time Series Representation Learning

Unsupervised/self-supervised representation learning in time series is c...

19 Wenrui Zhang, et al. ∙

∙ 05/19/2022

Spatial Autoregressive Coding for Graph Neural Recommendation

Graph embedding methods including traditional shallow models and deep Gr...

16 Jiayi Zheng, et al. ∙

∙ 02/08/2022

Unsupervised Time-Series Representation Learning with Iterative Bilinear Temporal-Spectral Fusion

Unsupervised/self-supervised time series representation learning is a ch...

12 Ling Yang, et al. ∙

∙ 02/08/2022

Spectral Propagation Graph Network for Few-shot Time Series Classification

Few-shot Time Series Classification (few-shot TSC) is a challenging prob...

7 Ling Yang, et al. ∙

∙ 03/31/2020

DPGN: Distribution Propagation Graph Network for Few-shot Learning

We extend this idea further to explicitly model the distribution-level r...

0 Ling Yang, et al. ∙

∙ 04/16/2019

DSTP-RNN: a dual-stage two-phase attention-based recurrent neural networks for long-term and multivariate time series prediction

Long-term prediction of multivariate time series is still an important b...

0 Yeqi Liu, et al. ∙

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