Titlebook: Database Systems for Advanced Applications; 29th International C Makoto Onizuka,Jae-Gil Lee,Kejing Lu Conference proceedings 2024 The Edito

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CrimeAlarm: Towards Intensive Intent Dynamics in Fine-Grained Crime PredictionMeanwhile, the output probability distributions are reciprocally learned between prediction networks to model unobserved criminal intents. Extensive experiments show that CrimeAlarm outperforms state-of-the-art methods in terms of NDCG@5, with improvements of 4.51% for the NYC16 and 7.73% for the CH

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scCDCG: Efficient Deep Structural Clustering for Single-Cell RNA-Seq via Deep Cut-Informed Graph Embptures intercellular high-order structural information, overcoming the over-smoothing and inefficiency issues prevalent in prior graph neural network methods. (ii) ., tailored to accommodate the unique complexities of scRNA-seq data, specifically its high-dimension and high-sparsity. (iii) . that si

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Hierarchical Cross-Level Graph Contrastive Learning for Drug-Drug Interaction Predictions. Finally, a cross-level contrastive learning module is introduced to align multi-view information. Extensive evaluation on real-world datasets demonstrates that our method outperforms existing competitors.