2 papers
cs.LG2026
Dynamic Linear Coregionalization for Realistic Synthetic Multivariate Time Series
Annita Vapsi, Penghang Liu, Saheed Obitayo +8
Synthetic data is essential for training foundation models for time series (FMTS), but most generators assume static correlations, and are typically missing realistic inter-channel…
cs.IR2024
JPEC: A Novel Graph Neural Network for Competitor Retrieval in Financial Knowledge Graphs
Wanying Ding, Manoj Cherukumalli, Santosh Chikoti +1
Knowledge graphs have gained popularity for their ability to organize and analyze complex data effectively. When combined with graph embedding techniques, such as graph neural netw…