1 citations · 1 across the 3 of their papers we have counts for
5 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…
Can We Transfer Noise Patterns? A Multi-environment Spectrum Analysis Model Using Generated Cases
Haiwen Du, Zheng Ju, Yu An +5
Spectrum analysis systems in online water quality testing are designed to detect types and concentrations of pollutants and enable regulatory agencies to respond promptly to pollut…
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,…
Leader Confirmation Replication for Millisecond Consensus in Private Chains
Dongjie Zhu, Haiwen Du, Yundong Sun +1
The private chain-based Internet of Things (IoT) system ensures the security of cross-organizational data sharing. As a widely used consensus model in private chains, the leader-ba…