1 citations · 1 across the 3 of their papers we have counts for
4 papers
GTC: GNN-Transformer Co-contrastive Learning for Self-supervised Heterogeneous Graph Representation
Yundong Sun, Dongjie Zhu, Yansong Wang +1
Graph Neural Networks (GNNs) have emerged as the most powerful weapon for various graph tasks due to the message-passing mechanism's great local information aggregation ability. Ho…
SpikeGraphormer: A High-Performance Graph Transformer with Spiking Graph Attention
Yundong Sun, Dongjie Zhu, Yansong Wang +3
Recently, Graph Transformers have emerged as a promising solution to alleviate the inherent limitations of Graph Neural Networks (GNNs) and enhance graph representation performance…
Spectrum-BERT: Pre-training of Deep Bidirectional Transformers for Spectral Classification of Chinese Liquors
Yansong Wang, Yundong Sun, Yansheng Fu +2
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. However,…
SCAI: A Spectral data Classification framework with Adaptive Inference for the IoT platform
Yundong Sun, Dongjie Zhu, Haiwen Du +2
Currently, it is a hot research topic to realize accurate, efficient, and real-time identification of massive spectral data with the help of deep learning and IoT technology. Deep…