3 papers
cs.AI2026
Towards Efficient Constraint Handling in Neural Solvers for Routing Problems
Jieyi Bi, Zhiguang Cao, Jianan Zhou +5
Neural solvers have achieved impressive progress in addressing simple routing problems, particularly excelling in computational efficiency. However, their advantages under complex…
cs.LG2025
Converting Transformers into DGNNs Form
Jie Zhang, Mao-Hsuan Mao, Bo-Wei Chiu +1
Recent advances in deep learning have established Transformer architectures as the predominant modeling paradigm. Central to the success of Transformers is the self-attention mecha…
cs.LG2024
From ChebNet to ChebGibbsNet
Jie Zhang, Min-Te Sun
Recent advancements in Spectral Graph Convolutional Networks (SpecGCNs) have led to state-of-the-art performance in various graph representation learning tasks. To exploit the pote…