7 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 7 cited
Continual Graph Learning: A Survey
Qiao Yuan, Sheng-Uei Guan, Pin Ni +4
Continual Graph Learning (CGL) enables models to incrementally learn from streaming graph-structured data without forgetting previously acquired knowledge. Experience replay is a c…
cs.IT2022★ 1 cited
Quantify the Causes of Causal Emergence: Critical Conditions of Uncertainty and Asymmetry in Causal Structure
Liye Jia, Fengyufan Yang, Ka Lok Man +4
Beneficial to advanced computing devices, models with massive parameters are increasingly employed to extract more information to enhance the precision in describing and predicting…
cs.CL2019
Semi-Unsupervised Lifelong Learning for Sentiment Classification: Less Manual Data Annotation and More Self-Studying
Xianbin Hong, Gautam Pal, Sheng-Uei Guan +4
Lifelong machine learning is a novel machine learning paradigm which can continually accumulate knowledge during learning. The knowledge extracting and reusing abilities enable the…