標(biāo)題: Titlebook: Advances in Knowledge Discovery and Data Mining; 25th Pacific-Asia Co Kamal Karlapalem,Hong Cheng,Tanmoy Chakraborty Conference proceedings [打印本頁] 作者: 諷刺文章 時(shí)間: 2025-3-21 19:56
書目名稱Advances in Knowledge Discovery and Data Mining影響因子(影響力)
書目名稱Advances in Knowledge Discovery and Data Mining影響因子(影響力)學(xué)科排名
書目名稱Advances in Knowledge Discovery and Data Mining網(wǎng)絡(luò)公開度
書目名稱Advances in Knowledge Discovery and Data Mining網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Advances in Knowledge Discovery and Data Mining被引頻次
書目名稱Advances in Knowledge Discovery and Data Mining被引頻次學(xué)科排名
書目名稱Advances in Knowledge Discovery and Data Mining年度引用
書目名稱Advances in Knowledge Discovery and Data Mining年度引用學(xué)科排名
書目名稱Advances in Knowledge Discovery and Data Mining讀者反饋
書目名稱Advances in Knowledge Discovery and Data Mining讀者反饋學(xué)科排名
作者: infantile 時(shí)間: 2025-3-21 20:58
VIKING: Adversarial Attack on Network Embeddings via Supervised Network Poisoning978-1-137-37554-4作者: vector 時(shí)間: 2025-3-22 00:38
Learning Attention-Based Translational Knowledge Graph Embedding via Nonlinear Dynamic Mapping978-0-230-51331-0作者: Antecedent 時(shí)間: 2025-3-22 05:05 作者: debase 時(shí)間: 2025-3-22 11:40 作者: 撫慰 時(shí)間: 2025-3-22 13:17 作者: 想象 時(shí)間: 2025-3-22 20:40 作者: deviate 時(shí)間: 2025-3-22 22:04 作者: 案發(fā)地點(diǎn) 時(shí)間: 2025-3-23 01:44 作者: 朝圣者 時(shí)間: 2025-3-23 09:20
Magnetic Substrates of T1 Relaxation,cted extensive experiments on three widely used benchmark datasets, under various combinations of different generic embedding backbones and different classifiers. The results show that EAEN significantly improves classification accuracy about 10–20% in different settings over the state-of-the-art me作者: 簡潔 時(shí)間: 2025-3-23 11:53
Fast or Turbo Spin Echo Imaging,beddings and minimize the information loss. Experiment results on node classification and link prediction tasks show that Cooker outperforms the state of the art baselines in all three compared datasets. A set of ablation experiments also demonstrate that the integration of more types of aggregators作者: conjunctiva 時(shí)間: 2025-3-23 15:37
Macroscopic Magnetization Revisited,y used word similarity benchmark datasets. In addition, investigation of the generated vector space also demonstrated the capability of the proposed model to capture the phonetic structure of the spoken-words. To the best of our knowledge, none of the existing works use speech and text entanglement 作者: CHAR 時(shí)間: 2025-3-23 21:35 作者: tenuous 時(shí)間: 2025-3-23 22:50
Fast or Turbo Spin Echo Imaging,ncodes the spatial dependency by separately aggregating different neighborhood representations rather than with multiple layers and capture the temporal dependency with a simple yet effective weighted spatio-temporal aggregation mechanism. We capture the periodic traffic patterns by using a novel po作者: 同來核對(duì) 時(shí)間: 2025-3-24 05:41 作者: 細(xì)微差別 時(shí)間: 2025-3-24 07:40 作者: 子女 時(shí)間: 2025-3-24 14:37 作者: 冬眠 時(shí)間: 2025-3-24 16:22
Luís Curvo-Semedo,Filipe Caseiro-Alvesdencies. Experiments on a large-scale Chinese OpenIE dataset SpanSAOKE shows that our model could alleviate the propagation of word segmentation errors and use dependency information more effectively, giving significant improvements over previous neural OpenIE models.作者: 笨拙的我 時(shí)間: 2025-3-24 23:01
Fundamentals of Clinical Magnetic Resonance,d workers’ class-dependent expertise. Our method embeds the class hierarchy into a latent space and represents samples as well as the worker’s prototypical samples for classes (prototypes) as vectors in this space. The similarities between the vectors in the latent space are used to estimate the tru作者: 愉快么 時(shí)間: 2025-3-25 01:29
Episode Adaptive Embedding Networks for Few-Shot Learningest lessons can come from failure. What decisions were made, and why? What would the founders have done differently? How did one company become a billion-dollar success while another—with a better product and in the same market—fail? Drawing on personal experience as well as the wisdom of the Silicon Valley978-1-4302-4140-9978-1-4302-4141-6作者: arthroplasty 時(shí)間: 2025-3-25 05:28
’ approach that aims to guide self-organization towards desirable states..This book shows how some of these ideas from the science of complexity can be applied to the study and management of social phenomena, i978-3-642-28999-6978-3-642-29000-8作者: visceral-fat 時(shí)間: 2025-3-25 08:49
Universal Representation for Codearticular, and emotions to illuminate human life in ways crucial to ethical thinking?.This book introduces an original idea in philosophy, “moral density,” which for the first time elucidates the profound relat978-3-031-19513-6978-3-031-19511-2作者: Cervical-Spine 時(shí)間: 2025-3-25 13:56 作者: 蛙鳴聲 時(shí)間: 2025-3-25 16:57 作者: 針葉 時(shí)間: 2025-3-25 23:24 作者: 膽小懦夫 時(shí)間: 2025-3-26 02:44 作者: Foreknowledge 時(shí)間: 2025-3-26 07:07 作者: expunge 時(shí)間: 2025-3-26 09:25
SST-GNN: Simplified Spatio-Temporal Traffic Forecasting Model Using Graph Neural Networkifficult to say which was the strongest so soon after the events. Mainly it is difficult to evaluate the West’s role when access to the archives will be impossible for a long time to come, but this does not mean that there is no knowledge at all about the West’s role.作者: 移植 時(shí)間: 2025-3-26 13:06
Self-supervised Graph Representation Learning with Variational Inferenceination, inequalities, liberty, equality, universal justice and/or differential justice. This book assesses improper pursuits of social justice in China. It also looks at how the ideas of liberty and equality have evolved, and some of the key problems over the last 70 years. This book also explains 作者: 修正案 時(shí)間: 2025-3-26 19:55
Manifold Approximation and Projection by Maximizing Graph Information in the State. On looking more deeply into the matter, we find that the strong aversion of the American worker to Socialist tendencies of the embittered sort to be found in Europe is to be explained in good part by the distinctiveness of his political situation. In particular, his love for the exist作者: Influx 時(shí)間: 2025-3-26 21:56 作者: 阻擋 時(shí)間: 2025-3-27 03:52
Clinical MR Imaging and Physicsnning over 30M Java methods and 770K Python methods. Through visualization, we reveal discriminative properties in our universal code representation. By comparing multiple benchmarks, we demonstrate that the proposed framework achieves state-of-the-art results on method name prediction and code graph link prediction.作者: 生銹 時(shí)間: 2025-3-27 07:35
https://doi.org/10.1007/978-3-540-85689-4 final recognition. The effectiveness of our proposed model is evaluated on two classical visual recognition tasks. The experimental results and analysis confirm our model is able to provide interpretable explanations for its predictions, but also maintain competitive recognition accuracy.作者: delusion 時(shí)間: 2025-3-27 09:58 作者: 思想靈活 時(shí)間: 2025-3-27 15:10
Conference proceedings 2021 submissions. They were organized in topical sections as follows:..Part I: Applications of knowledge discovery and data mining of specialized data;..Part II: Classical data mining; data mining theory and principles; recommender systems; and text analytics;.Part III: Representation learning and embedding, and learning from data.作者: periodontitis 時(shí)間: 2025-3-27 21:39 作者: obtuse 時(shí)間: 2025-3-28 02:00
Fundamentals of Clinical Magnetic Resonance,-to-Gaussian. We demonstrate the properties of the model and propose a Markov Chain Monte Carlo procedure with elegantly analytical updating steps for inferring the model variables. Experiments on the real-world datasets show that our method obtains reasonable hierarchies and remarkable empirical results according to some well known metrics.作者: 廢除 時(shí)間: 2025-3-28 04:56
0302-9743 d data;..Part II: Classical data mining; data mining theory and principles; recommender systems; and text analytics;.Part III: Representation learning and embedding, and learning from data.978-3-030-75767-0978-3-030-75768-7Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: bizarre 時(shí)間: 2025-3-28 09:13 作者: Immunotherapy 時(shí)間: 2025-3-28 10:49 作者: OCTO 時(shí)間: 2025-3-28 14:44
Luis Martí-Bonmatí,Estela López-Pérez embeddings. As a generic framework, it can be used with many simple KGE models to achieve excellent results. Finally, extensive experiments on public benchmarks demonstrate the efficiency and effectiveness of our framework.作者: Implicit 時(shí)間: 2025-3-28 21:36 作者: Altitude 時(shí)間: 2025-3-28 23:46 作者: tympanometry 時(shí)間: 2025-3-29 03:52
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/148642.jpg作者: 祝賀 時(shí)間: 2025-3-29 08:35 作者: Hay-Fever 時(shí)間: 2025-3-29 13:07
978-3-030-75767-0Springer Nature Switzerland AG 2021作者: 預(yù)感 時(shí)間: 2025-3-29 17:02 作者: Carcinogen 時(shí)間: 2025-3-29 23:41 作者: 突變 時(shí)間: 2025-3-30 02:18
Fast or Turbo Spin Echo Imaging,est application domain. The single type of aggregator for aggregation adopted by most existing embedding solutions may inevitably result in information loss. To keep the diversity of information during aggregation, it is mandatory to use the most appropriate different aggregators for specific graphs作者: sterilization 時(shí)間: 2025-3-30 07:50 作者: Barrister 時(shí)間: 2025-3-30 09:03 作者: Inveterate 時(shí)間: 2025-3-30 13:01 作者: FOLD 時(shí)間: 2025-3-30 18:12
Magnetic Substrates of T1 Relaxation,mances, one of the crucial aspects of KGEs is their capability of inferring relational patterns, such as symmetry, antisymmetry, inversion, and composition. Among the many reasons, the inference capability of embedding models is highly affected by the used loss function. However, most of the existin作者: Soliloquy 時(shí)間: 2025-3-30 22:29
Fast or Turbo Spin Echo Imaging,n in recent years. Most of the recent works employed graph neural networks(GNN) with multiple layers to capture the spatial dependency. However, road junctions with different hop-distance can carry distinct traffic information which should be exploited separately but existing multi-layer GNNs are in作者: monopoly 時(shí)間: 2025-3-31 01:33
Magnetic Substrates of T2 Relaxation,ation and link prediction. An important consideration in such applications is the robustness of the embedding algorithms against adversarial attacks, which can be examined by performing perturbation on the original network. An efficient perturbation technique can degrade the performance of network e作者: Corral 時(shí)間: 2025-3-31 07:13
Marzena Kulawska-Didoszak,Gabriel P. Krestinph properties are maximumly preserved. Graph Neural Networks (GNN)-based methods have shown to be effective in dealing with the graph representation learning task. However, most GNN-based methods belong to supervised learning, which depends heavily on the data labels that are difficult to access in 作者: 伙伴 時(shí)間: 2025-3-31 10:37 作者: 地牢 時(shí)間: 2025-3-31 13:51
https://doi.org/10.1007/978-3-540-85689-4or space for each entity and relation. It remains challenging to learn accurate embeddings for complex multi-relational facts. In this paper, we propose a new translation-based embedding method named ATransD-NL to address the following two observations. First, most existing translational methods do 作者: 辯論 時(shí)間: 2025-3-31 19:28 作者: debris 時(shí)間: 2025-4-1 00:50 作者: MIME 時(shí)間: 2025-4-1 05:24 作者: 能得到 時(shí)間: 2025-4-1 07:03
Luis Martí-Bonmatí,Lucía Flors Blascolearning techniques are incapable of explicitly incorporating already known domain-specific knowledge into the learning process. Therefore, the agents have to explore and learn the domain knowledge independently through a trial and error approach, which consumes both time and resources to make valid
