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Space-Invariant Projection in Streaming Network Embedding
Newly arriving nodes in dynamics networks would gradually make the node embedding space drifted and the retraining of node embedding and downstream models indispensable.
Forecasting open-high-low-close data contained in candlestick chart
Typically, the existence of the inherent constraints in OHLC data poses great challenge to its prediction, e. g., forecasting models may yield unrealistic values if these constraints are ignored.
Dimension reduction of open-high-low-close data in candlestick chart based on pseudo-PCA
The (open-high-low-close) OHLC data is the most common data form in the field of finance and the investigate object of various technical analysis.
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