Concept: Time Series Analysis and Forecasting
DTMiner: A Data-Centric System for Efficient Temporal Motif Mining
Accelerating pattern discovery in temporal networks through optimized data access coordination
STORM: A Spatio-Temporal Factor Model Based on Dual Vector Quantized Variational Autoencoders for Financial Trading
Machine learning model for extracting diverse stock factors to improve financial trading strategies
Temporal-clique query processing is made more efficient
Fast pattern matching in networks where structure and timing both matter
