5 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.LG2024★ 2 cited
Graph Contrastive Invariant Learning from the Causal Perspective
Yanhu Mo, Xiao Wang, Shaohua Fan +1
Graph contrastive learning (GCL), learning the node representation by contrasting two augmented graphs in a self-supervised way, has attracted considerable attention. GCL is usuall…
cs.LG2023★ 5 cited
Learning Invariant Molecular Representation in Latent Discrete Space
Xiang Zhuang, Qiang Zhang, Keyan Ding +5
Molecular representation learning lays the foundation for drug discovery. However, existing methods suffer from poor out-of-distribution (OOD) generalization, particularly when dat…
cs.CL2023★ 1 cited
Orthogonal Subspace Learning for Language Model Continual Learning
Xiao Wang, Tianze Chen, Qiming Ge +6
Benefiting from massive corpora and advanced hardware, large language models (LLMs) exhibit remarkable capabilities in language understanding and generation. However, their perform…