9 citations · 9 across the 2 of their papers we have counts for
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cs.LG2026
Neighbourhood Transformer: Switchable Attention for Monophily-Aware Graph Learning
Yi Luo, Xu Sun, Guangchun Luo +1
Graph neural networks (GNNs) have been widely adopted in engineering applications such as social network analysis, chemical research and computer vision. However, their efficacy is…
cs.LG2021★ 9 cited
Distilling Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages
Yi Luo, Aiguo Chen, Ke Yan +1
Nowadays, Graph Neural Networks (GNNs) following the Message Passing paradigm become the dominant way to learn on graphic data. Models in this paradigm have to spend extra space to…
cs.LG2021
Memory-Associated Differential Learning
Yi Luo, Aiguo Chen, Bei Hui +1
Conventional Supervised Learning approaches focus on the mapping from input features to output labels. After training, the learnt models alone are adapted onto testing features to…