2 papers
cs.CL2024
AutoFAIR : Automatic Data FAIRification via Machine Reading
Tingyan Ma, Wei Liu, Bin Lu +4
The explosive growth of data fuels data-driven research, facilitating progress across diverse domains. The FAIR principles emerge as a guiding standard, aiming to enhance the finda…
cs.LG2024
Variational Graph Auto-Encoder Based Inductive Learning Method for Semi-Supervised Classification
Hanxuan Yang, Zhaoxin Yu, Qingchao Kong +2
Graph representation learning is a fundamental research issue in various domains of applications, of which the inductive learning problem is particularly challenging as it requires…