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cs.AI2026
Continuous-Time Quantum Walks based Graph Neural Network
Yuliang Zhan, Zefeng Gao, Jian Li +2
Graph Neural Networks (GNNs) are widely used on graph-structured data, but most suffer from two key weaknesses. First, message passing behaves as a low-pass filter under the homoph…
cs.AI2024
Over-parameterized Student Model via Tensor Decomposition Boosted Knowledge Distillation
Yu-Liang Zhan, Zhong-Yi Lu, Hao Sun +1
Increased training parameters have enabled large pre-trained models to excel in various downstream tasks. Nevertheless, the extensive computational requirements associated with the…