2 citations · 3 across the 2 of their papers we have counts for
3 papers
cs.LG2023
Knowledge Distillation via Token-level Relationship Graph
Shuoxi Zhang, Hanpeng Liu, Kun He
Knowledge distillation is a powerful technique for transferring knowledge from a pre-trained teacher model to a student model. However, the true potential of knowledge transfer has…
cs.LG2023★ 1 cited
Tokenized Graph Transformer with Neighborhood Augmentation for Node Classification in Large Graphs
Jinsong Chen, Chang Liu, Kaiyuan Gao +2
Graph Transformers, emerging as a new architecture for graph representation learning, suffer from the quadratic complexity on the number of nodes when handling large graphs. To thi…
q-bio.BM2022★ 2 cited
Incorporating Pre-training Paradigm for Antibody Sequence-Structure Co-design
Kaiyuan Gao, Lijun Wu, Jinhua Zhu +8
Antibodies are versatile proteins that can bind to pathogens and provide effective protection for human body. Recently, deep learning-based computational antibody design has attrac…