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                PyPOTS
                            
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                    A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation,...
SAITS
                            
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                    The official PyTorch implementation of the paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (SOTA) deep-learning neural network model for efficient time-seri...
NATIVE
                            
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                    [Paper][SIGIR 2024] NativE: Multi-modal Knowledge Graph Completion in the Wild