ScienceDirect Publication: Information Sciences rss.sciencedirect.com

Subgraph-level universal prompt tuning

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Optimal mediation model and hybrid heuristic algorithm in graph model for conflict resolution from an option perspective

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Global mean–centered correlation: A variance-reduced and theoretically grounded similarity measure for sparse data environments

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PICA: Interpretable imputation for randomly missing Data

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Learning across modalities: Multi-scale contrastive forecasting with time-frequency representations and adversarial augmentations

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GCA-DETR: Global-context-aware-based detection transformer

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A post-quantum hierarchical and adaptive LWE-based secret image sharing scheme with verifiable reconstruction

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Bayesian-inspired non-negative matrix factorization with label propagation for multi-view clustering

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A robust multi-label learning method based on missing label probability modeling

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Clustered stochastic gene circuits in dual-node heterogeneous systems: Adaptive learning strategies under a discrete spatio-temporal framework

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Fast and scalable sliding-window-based algorithms for mining frequent weighted utility patterns over dynamic quantitative data streams

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Patch-HGST: Hierarchical graph spatio-temporal networks with data-driven adaptive patch partition for traffic prediction

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Learning from easy to hard: Curriculum meta-learning for few-shot node classification

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Decomposing preferences with a large language model for accurate and interpretable rating prediction

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Knowledge-driven domain adaptation network for diverse hazy image generation

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GCRdetector: Graph contrastive representation learning for urban anomaly detection

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A material-aware, multi-modal synthetic dataset for smart city applications: Design and construction

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A virtual node based zero-shot learning framework for link prediction in complex networks

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Irrelevant feature filtering module for deep multi-view generative clustering

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Learning multi-pattern collaboration in multivariate time series via patch-GCN and time-attention

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