1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Multiplex Graph Contrastive Learning with Soft Negatives
Zhenhao Zhao, Minhong Zhu, Chen Wang +4
Graph Contrastive Learning (GCL) seeks to learn nodal or graph representations that contain maximal consistent information from graph-structured data. While node-level contrasting…
cs.LG2024★ 1 cited
Boosting MLPs with a Coarsening Strategy for Long-Term Time Series Forecasting
Nannan Bian, Minhong Zhu, Li Chen +1
Deep learning methods have been exerting their strengths in long-term time series forecasting. However, they often struggle to strike a balance between expressive power and computa…
cs.LG2023★ 1 cited
Hybrid Focal and Full-Range Attention Based Graph Transformers
Minhong Zhu, Zhenhao Zhao, Weiran Cai
The paradigm of Transformers using the self-attention mechanism has manifested its advantage in learning graph-structured data. Yet, Graph Transformers are capable of modeling full…