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標(biāo)題: Titlebook: Database Systems for Advanced Applications; 29th International C Makoto Onizuka,Jae-Gil Lee,Kejing Lu Conference proceedings 2024 The Edito [打印本頁]

作者: intern    時間: 2025-3-21 17:39
書目名稱Database Systems for Advanced Applications影響因子(影響力)




書目名稱Database Systems for Advanced Applications影響因子(影響力)學(xué)科排名




書目名稱Database Systems for Advanced Applications網(wǎng)絡(luò)公開度




書目名稱Database Systems for Advanced Applications網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Database Systems for Advanced Applications被引頻次




書目名稱Database Systems for Advanced Applications被引頻次學(xué)科排名




書目名稱Database Systems for Advanced Applications年度引用




書目名稱Database Systems for Advanced Applications年度引用學(xué)科排名




書目名稱Database Systems for Advanced Applications讀者反饋




書目名稱Database Systems for Advanced Applications讀者反饋學(xué)科排名





作者: aptitude    時間: 2025-3-21 22:03
https://doi.org/10.1007/978-981-97-5575-2Data mining and knowledge discovery; Data quality and credibility; Data-driven AI technology; Informati
作者: 工作    時間: 2025-3-22 03:30

作者: EPT    時間: 2025-3-22 08:29

作者: nonradioactive    時間: 2025-3-22 10:54
Markets, Freedom and Responsibility,s. This process also needs to consider various spatiotemporal factors such as the time and location for departures or arrivals. The increasing demand of air transportation brings new technical challenges to this problem, such as large data scalability and multiple optimization objectives. Thus, in t
作者: Altitude    時間: 2025-3-22 16:06
Nijhoff International Philosophy Series the interactions between proteins and ligands, which, however, encounter several critical issues: 1) Assuming that ligand and protein nodes within a specific distance could form interaction pairs, neglecting their intricate spatial relationships or the limited number each node can accommodate. 2) D
作者: Altitude    時間: 2025-3-22 21:07

作者: 偏見    時間: 2025-3-22 21:16
methods rely on static features such as bytecode, opcode, and control flow graph (CFG). However, these methods exhibit two shortcomings: (1) Most existing methods only utilize a single static feature, either static opcode or CFG, lacking effective feature fusion and leaving room for improvement in
作者: 知識    時間: 2025-3-23 01:28
https://doi.org/10.1007/978-3-476-03974-3e novel material discovery. The chemical intuition of irregularity and contribution variability existing in substructures present challenges in modeling molecular structural information, resulting in unsatisfactory performance in molecular property prediction. In this paper, we propose Key Substruct
作者: Fermentation    時間: 2025-3-23 07:26
,Eigenst?ndige Werte und das gute Leben,lternately exhibit in preceding sequential events, and progress differently in next. Such intensive intent dynamics makes training models hard to capture unobserved intents, and thus leads to sub-optimal generalization performance, especially in the intertwining of numerous potential events. To capt
作者: 拋棄的貨物    時間: 2025-3-23 12:35
ents. However, existing works in this domain has encountered certain limitations when applied in practical settings. Firstly, most studies have primarily focused on binary treatment scenarios, but real-world industrial applications often involve multi-valued treatments, rendering these approaches in
作者: 施魔法    時間: 2025-3-23 17:00

作者: Spartan    時間: 2025-3-23 18:45
ly focused on modeling CPIs either?from intramolecular or intermolecular interactions, disregarding?the diversity of interactions and the fine dependencies between?these two types of interactions, thereby limiting the accuracy of?CPI predictions. We argue that properly considering both intramolecula
作者: 小歌劇    時間: 2025-3-24 00:41
Muhammad Arshad,William T. Frankenberger Jr.cs advancements. Despite its potential, traditional clustering methods in scRNA-seq data analysis often neglect the structural information embedded in gene expression profiles, crucial for understanding cellular correlations and dependencies. Existing strategies, including graph neural networks, fac
作者: notice    時間: 2025-3-24 02:59
H. Kende,J.-P. Metraux,I. Raskin images, and subsequently using CNN models to extract features for prediction. Nevertheless, these CNN-based methods are fraught with several critical issues: 1) ignore the complexity of protein structures; 2) susceptible to rotation; 3) deficient in handling global and long-range geometric informat
作者: homocysteine    時間: 2025-3-24 07:31

作者: Fierce    時間: 2025-3-24 14:03

作者: prodrome    時間: 2025-3-24 18:26

作者: 1分開    時間: 2025-3-24 21:01
Growth, Metabolism, and Structure,chieved promising performance in DDI prediction. However, limited attention has been given to the integration of substructure information and drug relationships to capture complex DDI patterns using self-supervised learning techniques. To this end, we propose a novel hierarchical cross-level graph c
作者: Laconic    時間: 2025-3-25 02:42
Alexandria, das Museion, Euklid,stic by capturing inconsistencies between text and image information. Despite achieving significant success, most existing methods primarily focus on modeling cross-modal relationships through various interaction mechanisms, ignoring the inter-modal gap caused by the representation and granularity o
作者: 失望昨天    時間: 2025-3-25 04:56

作者: 運(yùn)氣    時間: 2025-3-25 09:48

作者: 無瑕疵    時間: 2025-3-25 15:01

作者: ANTH    時間: 2025-3-25 19:19
Markets, Freedom and Responsibility, the number of required airplanes and devise several optimizations to balance their workload and enhance scalability. Moreover, we provide theoretical guarantees on both optimization goals. Finally, we conduct extensive experiments on real-world datasets to demonstrate the effectiveness and scalability of our solution.
作者: tympanometry    時間: 2025-3-25 22:09
Flight Planning at?Scale: A Bipartite Matching Based Approach the number of required airplanes and devise several optimizations to balance their workload and enhance scalability. Moreover, we provide theoretical guarantees on both optimization goals. Finally, we conduct extensive experiments on real-world datasets to demonstrate the effectiveness and scalability of our solution.
作者: Priapism    時間: 2025-3-26 02:07

作者: 憤憤不平    時間: 2025-3-26 08:02
Ethnicity, Racism and Social Theory,om various roads, including highways and mountainous local roads in Japan, and compared them with the VCVR-EBM to verify its accuracy-all of which achieved good results. Furthermore, we showed how the VCVR-EBM can be utilized for analysis of EV acceleration methods, route selection for travel, and charging planning for long-distance trips.
作者: 睨視    時間: 2025-3-26 11:58
https://doi.org/10.1007/978-3-642-66787-9 is likely to be beneficial for their annotations. The results of a large-scale experiment show that our algorithm manages to request human experts at times of need and to significantly improve annotation compared to fixed, non-interactive, requesting approaches.
作者: 易于交談    時間: 2025-3-26 12:48

作者: bronchiole    時間: 2025-3-26 18:27
AdaShifter: An Online Data Annotation Framework Under Human-Machine Collaboration is likely to be beneficial for their annotations. The results of a large-scale experiment show that our algorithm manages to request human experts at times of need and to significantly improve annotation compared to fixed, non-interactive, requesting approaches.
作者: 機(jī)械    時間: 2025-3-27 00:32
0302-9743 lications, DASFAA 2024, held in Gifu, Japan, in July 2024...The total of 147 full papers, along with 85 short papers, presented together in this seven-volume set was carefully reviewed and selected from 722 submissions...Additionally, 14 industrial papers, 18 demo papers and 6 tutorials are included
作者: 埋伏    時間: 2025-3-27 02:58

作者: negligence    時間: 2025-3-27 06:39
multi-scale feature representation to obtain complex multi-level changes. It is combined with a dilated causal convolution network to preserve the interaction information of different time periods and solve the problem of long-term forgetting. On the other hand, this method utilizes the multi-scale
作者: 休息    時間: 2025-3-27 10:14

作者: 航海太平洋    時間: 2025-3-27 13:42

作者: 我沒有命令    時間: 2025-3-27 21:46
ace the execution paths of functions, thereby pruning CFG and opcode to obtain their dynamic representation. This process effectively captures the core information of Ponzi schemes, enhancing the system’s resilience against code injection attacks. Experimental results demonstrate that DS-Ponzi outpe
作者: flex336    時間: 2025-3-28 00:08

作者: 悲觀    時間: 2025-3-28 04:51

作者: 燒烤    時間: 2025-3-28 08:31
tes an invariant feature representation and a reparameterization multi-head module. This module achieves a balanced representation of all treatments by employing gradient constraints, thereby mitigating selection bias and enhancing model efficiency and performance. The latter responses to different
作者: Phonophobia    時間: 2025-3-28 13:09
d relationships between the two types of interactions, we design a dual-scale interactive learning paradigm to facilitate interactive transmission of collaborative information between intramolecular?and intermolecular interactions in both local and global hyperspace (atom-level and molecule-level),
作者: 人充滿活力    時間: 2025-3-28 15:24
Muhammad Arshad,William T. Frankenberger Jr.ptures 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
作者: 法律的瑕疵    時間: 2025-3-28 20:06
H. Kende,J.-P. Metraux,I. Raskine. 2) Protein Geometric Modeling Module, crafted to learn short- and long-range geometric features of a protein utilizing proposed Transformer-Unet model. The experimental results on multiple datasets demonstrate that our model either matches or exceeds the performance of the state-of-the-art, while
作者: DIKE    時間: 2025-3-29 01:51
,Etikette — ein Thema für die Sekret?rin?,e information as well. To capture multiple attribute information and aid in anomaly detection, we design an anomaly-aware masked autoencoder, effectively making anomalies more distinguished. Extensive experiments on nine datasets show the superiority of CARD. Our code are available at ..
作者: 兩種語言    時間: 2025-3-29 05:52

作者: 欲望    時間: 2025-3-29 08:52
Growth, Metabolism, and Structure,s. 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.
作者: FRET    時間: 2025-3-29 12:08

作者: CHANT    時間: 2025-3-29 16:07
Voreuklidische griechische Mathematik,hen employs asymmetric neighbor aggregation to achieve diversified recommendations. Experimental results on a real-world dataset demonstrate the superiority of our proposed method over existing approaches in terms of game diversity recommendations.
作者: 空洞    時間: 2025-3-29 23:33
Multi-scale Residual Graph Attention Network for?Major Depressive Disorder Recognitionmulti-scale feature representation to obtain complex multi-level changes. It is combined with a dilated causal convolution network to preserve the interaction information of different time periods and solve the problem of long-term forgetting. On the other hand, this method utilizes the multi-scale
作者: circuit    時間: 2025-3-30 01:11
HierAffinity: Predicting Protein-Ligand Binding Affinity With Hierarchical Modelingand separately; The second module introduces the interact-KNN method to effectively discern probable interaction pairs between a protein and a ligand. These pairs are then classified into distinct types based on their distance for more representative interaction embedding. The third module comprehen
作者: 他一致    時間: 2025-3-30 07:58

作者: 透明    時間: 2025-3-30 08:37

作者: intoxicate    時間: 2025-3-30 14:06

作者: Longitude    時間: 2025-3-30 17:37
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
作者: ungainly    時間: 2025-3-30 22:09

作者: pericardium    時間: 2025-3-31 04:49

作者: menopause    時間: 2025-3-31 07:29
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
作者: 讓空氣進(jìn)入    時間: 2025-3-31 11:28

作者: Definitive    時間: 2025-3-31 15:30

作者: Fierce    時間: 2025-3-31 18:45

作者: 過度    時間: 2025-4-1 01:17
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.
作者: 統(tǒng)治人類    時間: 2025-4-1 03:08
Representation and?Granularity Joint Alignment Framework for?Multimodal Sarcasm Detection on?Social ent modalities into a unified granularity. Moreover, bidirectional cross-modal attention is adopted to aggregate global and local features for capturing comprehensive inconsistencies. Extensive experiments on a benchmark dataset demonstrate the superiority of the proposed framework. Our source code
作者: Affectation    時間: 2025-4-1 06:10





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