標(biāo)題: Titlebook: Web and Big Data; 7th International Jo Xiangyu Song,Ruyi Feng,Geyong Min Conference proceedings 2024 The Editor(s) (if applicable) and The [打印本頁] 作者: Destruct 時(shí)間: 2025-3-21 19:02
書目名稱Web and Big Data影響因子(影響力)
書目名稱Web and Big Data影響因子(影響力)學(xué)科排名
書目名稱Web and Big Data網(wǎng)絡(luò)公開度
書目名稱Web and Big Data網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Web and Big Data被引頻次
書目名稱Web and Big Data被引頻次學(xué)科排名
書目名稱Web and Big Data年度引用
書目名稱Web and Big Data年度引用學(xué)科排名
書目名稱Web and Big Data讀者反饋
書目名稱Web and Big Data讀者反饋學(xué)科排名
作者: V切開 時(shí)間: 2025-3-21 22:54
,A BERT-Based Semantic Enhanced Model for?COVID-19 Fake News Detection,eos. Meanwhile, fake news spreads widely on the Internet, preventing authoritative information from spreading and hindering the fight against the disease. To detect and recognize fake news, as well as to prevent its spread, effective detection models are urgently required. Text information is the mo作者: 小畫像 時(shí)間: 2025-3-22 04:24 作者: Narcissist 時(shí)間: 2025-3-22 06:37
,Mining Frequent Geo-Subgraphs in?a?Knowledge Graph,ial networks, citation networks, protein interaction networks, etc. This paper studies frequent subgraph mining in a knowledge graph, where some vertices are associated with geo-coordinates, called geo-vertices. We introduce geo-constraints and propose the problem of frequent geo-subgraph (FGS) mini作者: dilute 時(shí)間: 2025-3-22 12:44 作者: 不規(guī)則 時(shí)間: 2025-3-22 13:40
,Locality Sensitive Hashing for?Data Placement to?Optimize Parallel Subgraph Query Evaluation, an opportunity for parallelizing subgraph queries in large graphs. To effectively evaluate these subgraph queries, it is crucial to place vertices among different workers. In contrast to widely used hash-based techniques, our approach leverages the utilization of locality sensitive hashing methods 作者: infringe 時(shí)間: 2025-3-22 18:15
DUTD: A Deeper Understanding of Trajectory Data for User Identity Linkage, studies on users’ spatio-temporal behaviors. Among these studies, the task of trajectory-based user identity linkage (UIL) has attracted extensive attention recently. Existing efforts for the task mainly rely on data mining methods and sequence models to extract features and measure user identity s作者: Abrupt 時(shí)間: 2025-3-22 23:46 作者: 無表情 時(shí)間: 2025-3-23 02:01 作者: 脫離 時(shí)間: 2025-3-23 06:26 作者: 壓倒 時(shí)間: 2025-3-23 13:35 作者: 同音 時(shí)間: 2025-3-23 14:07 作者: 飛行員 時(shí)間: 2025-3-23 20:31 作者: 音樂等 時(shí)間: 2025-3-24 01:21
,Distributed Deep Learning for?Big Remote Sensing Data Processing on?Apache Spark: Geological Remoteghts into Earth’s surface’s objects are gained with the help of remote sensing processing methods and techniques and are applied in various applications. Recently, deep-learning-based methods are widely used in remote sensing data processing due to their ability to mine relationships using multiple 作者: enmesh 時(shí)間: 2025-3-24 03:18
,Graph-Enforced Neural Network for?Attributed Graph Clustering,ttribute vector (i.e., the attributed graph). Recently, methods built on Graph Auto-Encoder (GAE) have achieved state-of-the-art performance on the attributed graph clustering task. The performance gain mainly comes from GAE’s ability to capture knowledge from graph structures and node attributes si作者: Narcissist 時(shí)間: 2025-3-24 08:33
,Graph-Enforced Neural Network for?Attributed Graph Clustering,ttribute vector (i.e., the attributed graph). Recently, methods built on Graph Auto-Encoder (GAE) have achieved state-of-the-art performance on the attributed graph clustering task. The performance gain mainly comes from GAE’s ability to capture knowledge from graph structures and node attributes si作者: vanquish 時(shí)間: 2025-3-24 12:35 作者: Palpable 時(shí)間: 2025-3-24 18:26
,MacGAN: A Moment-Actor-Critic Reinforcement Learning-Based Generative Adversarial Network for?Molecug discovery. However, GANs are typically employed to process continuous data such as images and are unstable in performance for discrete molecular graphs and simplified molecular-input line-entry system (SMILES) strings. Most previous studies use reinforcement learning (RL) methods (e.g., Monte Car作者: 無思維能力 時(shí)間: 2025-3-24 19:16
,Multi-modal Graph Convolutional Network for?Knowledge Graph Entity Alignment,data, such as attributions and images, are widely used to enhance alignment performance. However, most existing techniques for multi-modal knowledge exploitation separately pre-train uni-modal features and heuristically merge these features, failing to adequately consider the interplay between diffe作者: Blood-Clot 時(shí)間: 2025-3-25 00:52
,Multi-modal Graph Convolutional Network for?Knowledge Graph Entity Alignment,data, such as attributions and images, are widely used to enhance alignment performance. However, most existing techniques for multi-modal knowledge exploitation separately pre-train uni-modal features and heuristically merge these features, failing to adequately consider the interplay between diffe作者: 具體 時(shí)間: 2025-3-25 05:51 作者: Employee 時(shí)間: 2025-3-25 09:37
,Subgraph Federated Learning with?Global Graph Reconstruction, Existing cutting-edge methods typically allow clients to exchange data with all other clients to predict missing neighbor nodes. However, such client-to-client data exchanges are highly complex and lead to expensive communication overhead. In this paper, we propose FedGGR: subgraph federated learni作者: Keshan-disease 時(shí)間: 2025-3-25 12:39 作者: 擔(dān)心 時(shí)間: 2025-3-25 16:53
SEGCN: Structural Enhancement Graph Clustering Network,nging research task for graph-structured data. In recent years, existing graph clustering methods have gotten better performance without human guidance by combining auto-encoder and graph convolution networks. However, the existing methods exist problems: 1) the aggregation of noise information in t作者: aerial 時(shí)間: 2025-3-25 21:52 作者: AXIOM 時(shí)間: 2025-3-26 02:21 作者: 抵消 時(shí)間: 2025-3-26 04:59 作者: 暫停,間歇 時(shí)間: 2025-3-26 10:21 作者: 推延 時(shí)間: 2025-3-26 14:03 作者: 得罪人 時(shí)間: 2025-3-26 19:49
,Joint Training Graph Neural Network for?the?Bidding Project Title Short Text Classification, in the face of complex and complicated bidding information, how to select the bidding projects that meet their needs and process them in a shorter time, the classification of project titles has become an urgent problem to be solved. Considering the characteristics of the short text of bidding title作者: exhibit 時(shí)間: 2025-3-26 23:24
,TASML: Two-Stage Adaptive Semi-supervised Meta-learning for?Few-Shot Learning,y and efficiency, and interrelated hierarchies for integrated processing of visual inputs is a signature of human vision intelligence. Similar to the process of human recognition of unknown objects, meta-learning enables models to “l(fā)earn to learn" by providing a small number of “support" samples to 作者: 極為憤怒 時(shí)間: 2025-3-27 01:50 作者: Fillet,Filet 時(shí)間: 2025-3-27 06:28 作者: 博識 時(shí)間: 2025-3-27 13:27
,MHNA: Multi-Hop Neighbors Aware Index for?Accelerating Subgraph Matching,the subgraph matching problem has been proven to be an NP-complete problem. While specific approaches aim to accelerate queries by leveraging favorable matching orders and pruning rules, they face limitations in handling large-scale graph data due to the exponential search space. Conversely, other m作者: 骨 時(shí)間: 2025-3-27 15:39
,Epidemic Source Identification Based on?Infection Graph Learning, enables tracing propagation processes and implementing effective measures to block transmission. However, most algorithms employed to identify propagation sources in networks heavily rely on prior knowledge of the underlying propagation models and associated parameters, as different propagation pat作者: 情愛 時(shí)間: 2025-3-27 17:50 作者: Conserve 時(shí)間: 2025-3-28 00:28
,Hierarchical Retrieval of?Ancient Chinese Character Images Based on?Region Saliency and?Skeleton Mar image retrieval techniques when applied to ancient Chinese characters, this paper proposes a hierarchical retrieval method for ancient Chinese characters images based on region saliency and skeleton matching (RSSM). The proposed method utilizes saliency joint weighting algorithm to effectively int作者: 四目在模仿 時(shí)間: 2025-3-28 03:54
,MHNA: Multi-Hop Neighbors Aware Index for?Accelerating Subgraph Matching,the subgraph matching problem has been proven to be an NP-complete problem. While specific approaches aim to accelerate queries by leveraging favorable matching orders and pruning rules, they face limitations in handling large-scale graph data due to the exponential search space. Conversely, other m作者: 規(guī)范要多 時(shí)間: 2025-3-28 06:31 作者: amyloid 時(shí)間: 2025-3-28 12:15
,Locality Sensitive Hashing for?Data Placement to?Optimize Parallel Subgraph Query Evaluation, vertices, thereby reducing redundant communication and computation across multiple workers during parallel subgraph query evaluation. Extensive experimental studies conducted on both large real and synthetic graphs demonstrate that our proposed techniques lead to significant improvements in query performance compared to existing methods.作者: 拉開這車床 時(shí)間: 2025-3-28 17:51 作者: arabesque 時(shí)間: 2025-3-28 20:29 作者: 演講 時(shí)間: 2025-3-29 02:20
,MacGAN: A Moment-Actor-Critic Reinforcement Learning-Based Generative Adversarial Network for?Moleceneration with SMILES strings. MacGAN leverages the robust architecture of GAN while incorporating a simple reward mechanism, making it suitable for larger datasets compared to computationally intensive Monte Carlo-based methods. Experimental results show effectiveness of MacGAN.作者: 輕觸 時(shí)間: 2025-3-29 03:47
,Subgraph Federated Learning with?Global Graph Reconstruction,edGGR does not require any data exchange among clients and achieves remarkable enhancements in model performance. The experimental results on four benchmark datasets show that the proposed method excels with other state-of-the-art methods. We release our source code at ..作者: 完成 時(shí)間: 2025-3-29 08:33
,Subgraph Federated Learning with?Global Graph Reconstruction,edGGR does not require any data exchange among clients and achieves remarkable enhancements in model performance. The experimental results on four benchmark datasets show that the proposed method excels with other state-of-the-art methods. We release our source code at ..作者: 古董 時(shí)間: 2025-3-29 12:53 作者: aristocracy 時(shí)間: 2025-3-29 17:35
0302-9743 WAIM 2023, which took place in Wuhan, China, in October 2023...The total of 138 papers included in the proceedings were carefully reviewed and selected from 434 submissions. They focus on?innovative ideas, original research findings, case study results, and experienced insights in the areas of the W作者: 不透氣 時(shí)間: 2025-3-29 21:12 作者: Robust 時(shí)間: 2025-3-30 03:44
Hui Yin,Xiao Liu,Yutao Wu,Hilya Mudrika Arini,Rami Mohawesh作者: acclimate 時(shí)間: 2025-3-30 08:05 作者: contrast-medium 時(shí)間: 2025-3-30 09:13
Yixin Wu,Jingyan Huang,Dingming Wu,Christian S. Jensen,Kezhong Lu作者: DAFT 時(shí)間: 2025-3-30 12:33
Mingdao Li,Bo Zhai,Yuntao Jiang,Yunjian Li,Zheng Qin,Peng Peng作者: 因無茶而冷淡 時(shí)間: 2025-3-30 20:16 作者: perimenopause 時(shí)間: 2025-3-30 23:41 作者: Irrigate 時(shí)間: 2025-3-31 03:27 作者: occult 時(shí)間: 2025-3-31 08:48
Ao Long,Wei Han,Xiaohui Huang,Jiabao Li,Yuewei Wang,Jia Chen作者: glamor 時(shí)間: 2025-3-31 13:14
Zeang Sheng,Wentao Zhang,Wen Ouyang,Yangyu Tao,Zhi Yang,Bin Cui作者: 技術(shù) 時(shí)間: 2025-3-31 16:24 作者: 說明 時(shí)間: 2025-3-31 20:05 作者: 雕鏤 時(shí)間: 2025-4-1 01:33 作者: 狗窩 時(shí)間: 2025-4-1 03:52
Yinghui You,Yuyang Wei,Yanlong Zhang,Wei Chen,Lei Zhao作者: 具體 時(shí)間: 2025-4-1 07:17 作者: LAITY 時(shí)間: 2025-4-1 13:18 作者: 后來 時(shí)間: 2025-4-1 15:44 作者: 哺乳動(dòng)物 時(shí)間: 2025-4-1 19:40 作者: 男生戴手銬 時(shí)間: 2025-4-2 00:35 作者: ventilate 時(shí)間: 2025-4-2 05:30
Hui Yin,Xiao Liu,Yutao Wu,Hilya Mudrika Arini,Rami Mohawesh of ANF and angiotensin II in brain regions involved in the regulation of sodium, water, and blood pressure such as the AV3V region and the subfornical organ; the role of ANF in the ciliary bodies of the eyes; the relationship of particulate guanylate cyclase stimulation and adenylate cyclase inhibi作者: 甜得發(fā)膩 時(shí)間: 2025-4-2 08:08
Qian Li,Qian Zhou,Wei Chen,Lei Zhaons from different tissues and the multiplicity of subunits in even one channel implies a functional specialization for gap junctions. Correlative studies on the molecular and cellular level should help to clarify the physiological meaning of intercellular communication by gap junctions.作者: 我說不重要 時(shí)間: 2025-4-2 14:41
Ao Long,Wei Han,Xiaohui Huang,Jiabao Li,Yuewei Wang,Jia Chenve significance of I. can be strongly regulated by a number of second messengers. Particularly in heart, where I. becomes the dominant repolarizing conductance at high frequency and β-adrenergic tonus, an inhibition of I. may be beneficial in the treatment of certain arrhythmias. On the other hand, 作者: Budget 時(shí)間: 2025-4-2 18:39 作者: 魯莽 時(shí)間: 2025-4-2 21:42
Zhi Liu,Hanlin Zhou,Feng Xia,Guojiang Shen,Vidya Saikrishna,Xiaohua He,Jiaxin Du,Xiangjie Kongrmone (s), which control gonadotropin release in female, male, and immature animals, are well integrated changes in turnovers of different neurotransmitters. Direct actions of hormones at the pituitary level to modulate the action of hypothalamic hormones are also possible. The molecular basis of th作者: Maximizer 時(shí)間: 2025-4-3 01:01
Hao Guo,Hongbiao Si,Guilin Jiang,Wei Zhang,Zhiyan Liu,Xuanyi Zhu,Xulong Zhang,Yang Liulitated..Even though optical methods for measuring membrane potential were introduced relatively recently, their uses have multiplied rapidly and will doubtless continue to proliferate. It seems likely that, in several instances, optical techniques will prove to be quite powerful and, used with caut作者: Mri485 時(shí)間: 2025-4-3 05:30
Xingyun Hong,Ting Yu,Zhao Li,Ji Zhangte distal tubule and early collecting duct, which are morphologically characterized as the granular segment, may be the major site for the final regulation of urinary calcium excretion. Current data suggest that these segments are the major site of action of parathyroid hormone and are responsible f作者: Generosity 時(shí)間: 2025-4-3 08:07 作者: Lineage 時(shí)間: 2025-4-3 12:23
,A BERT-Based Semantic Enhanced Model for?COVID-19 Fake News Detection,k-fold cross-validation, we validate the model’s performance on a publicly available COVID-19 fake news dataset, demonstrating its effectiveness and robustness. On evaluation metrics, the proposed model performs better than the vanilla model by more than 3%.
