1 code implementation • 22 Mar 2024 • Yundong Sun, Dongjie Zhu, Yansong Wang, Zhaoshuo Tian
So, can we propose a novel framework to combine GNN and Transformer, integrating both GNN's local information aggregation and Transformer's global information modeling ability to eliminate the over-smoothing problem?
1 code implementation • 21 Mar 2024 • Yundong Sun, Dongjie Zhu, Yansong Wang, Zhaoshuo Tian, Ning Cao, Gregory O'Hared
In this work, we propose a novel insight into integrating SNNs with Graph Transformers and design a Spiking Graph Attention (SGA) module.
no code implementations • 22 Oct 2022 • Yansong Wang, Yundong Sun, Yansheng Fu, Dongjie Zhu, Zhaoshuo Tian
Spectral detection technology, as a non-invasive method for rapid detection of substances, combined with deep learning algorithms, has been widely used in food detection.
no code implementations • 24 Jun 2022 • Yundong Sun, Dongjie Zhu, Haiwen Du, Yansong Wang, Zhaoshuo Tian
To address the above issues, we propose a Spectral data Classification framework with Adaptive Inference.
1 code implementation • 2 Sep 2021 • Yundong Sun, Dongjie Zhu, Haiwen Du, Zhaoshuo Tian
Based on this, we also propose a hierarchical self-supervised learning model, which realizes two levels of self-supervised learning within and between channels, which improves the ability of self-supervised tasks to autonomously mine different levels of potential information.
1 code implementation • 17 Jun 2021 • Yundong Sun, Dongjie Zhu, Haiwen Du, Zhaoshuo Tian
Finally, a hierarchical semantic attention fusion model (HSAF) is constructed, which can efficiently integrate different-hop and different-path neighborhood information.