標題: Titlebook: Individual and Collective Graph Mining; Principles, Algorith Danai Koutra,Christos Faloutsos Book 2018 Springer Nature Switzerland AG 2018 [打印本頁] 作者: 欺侮 時間: 2025-3-21 18:01
書目名稱Individual and Collective Graph Mining影響因子(影響力)
書目名稱Individual and Collective Graph Mining影響因子(影響力)學科排名
書目名稱Individual and Collective Graph Mining網絡公開度
書目名稱Individual and Collective Graph Mining網絡公開度學科排名
書目名稱Individual and Collective Graph Mining被引頻次
書目名稱Individual and Collective Graph Mining被引頻次學科排名
書目名稱Individual and Collective Graph Mining年度引用
書目名稱Individual and Collective Graph Mining年度引用學科排名
書目名稱Individual and Collective Graph Mining讀者反饋
書目名稱Individual and Collective Graph Mining讀者反饋學科排名
作者: APNEA 時間: 2025-3-21 23:27 作者: Allergic 時間: 2025-3-22 03:48 作者: capillaries 時間: 2025-3-22 07:44 作者: 嘲弄 時間: 2025-3-22 10:04 作者: tenosynovitis 時間: 2025-3-22 14:18
three different machine learning models to two different miRNA-mRNA datasets, of predictions from 3 different tools: TargetScan, miRanda, and RNAhybrid. Although an experimental validation of the results is needed to better confirm the predictions, deep learning techniques achieved the best performa作者: 代理人 時間: 2025-3-22 19:28 作者: GUILE 時間: 2025-3-22 22:24
three different machine learning models to two different miRNA-mRNA datasets, of predictions from 3 different tools: TargetScan, miRanda, and RNAhybrid. Although an experimental validation of the results is needed to better confirm the predictions, deep learning techniques achieved the best performa作者: FADE 時間: 2025-3-23 03:27
Danai Koutra,Christos Faloutsosalso realizes a static software analysis component to collect detailed structural information and provides an interactive visualization and analysis of the functions. We use a large-scale community-based Earth System Model to demonstrate the workflow, functions and visualization of the toolkit. We a作者: Ferritin 時間: 2025-3-23 07:09 作者: BUCK 時間: 2025-3-23 12:25 作者: laparoscopy 時間: 2025-3-23 17:00
Danai Koutra,Christos Faloutsose learning. Specifically, we preliminarily construct a cross-modal feature matrix to fuse the original visual and textural features. Then the 2D-convolutional networks are proposed to reason about inner-group relationships among features across modalities, resulting in fine-grained text-image repres作者: palette 時間: 2025-3-23 20:30 作者: 使長胖 時間: 2025-3-23 22:33
Danai Koutra,Christos Faloutsoseural Assimilation (NA), a coupled neural network made of two Recurrent Neural Networks trained on forecasting data and observed data respectively. We prove that the solution of NA is the same of KF. As NA is trained on both forecasting and observed data, after the phase of training NA is used for t作者: Melodrama 時間: 2025-3-24 02:53 作者: 清楚說話 時間: 2025-3-24 08:20
2151-0067 ies (obtained via summarization or other methods) and the network structure to efficiently and effectively learn information about the unknown entities...Collec978-3-031-00783-5978-3-031-01911-1Series ISSN 2151-0067 Series E-ISSN 2151-0075 作者: 高談闊論 時間: 2025-3-24 11:57
Book 2018graph by identifying its important graph structures. We complement summarization with inference, which leverages information about few entities (obtained via summarization or other methods) and the network structure to efficiently and effectively learn information about the unknown entities...Collec作者: DRAFT 時間: 2025-3-24 16:55
Information Analysis.Part V: Computational Optimization, Modelling and Simulation; Computational Science in IoT and Smart Systems; Computer Graphics, Image Proc978-3-030-50419-9978-3-030-50420-5Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 有斑點 時間: 2025-3-24 19:05 作者: Debility 時間: 2025-3-24 23:26 作者: Audiometry 時間: 2025-3-25 05:57 作者: Biguanides 時間: 2025-3-25 09:59 作者: wreathe 時間: 2025-3-25 12:54 作者: Morbid 時間: 2025-3-25 16:17
Conclusions and Further Research Problems, traffic flow, or brain functions are only few examples of the processes that are naturally captured by graphs, which often span . or . of nodes and edges. Within this abundance of interconnected data, a key challenge is the extraction of . in a . way.作者: hauteur 時間: 2025-3-25 20:51 作者: CEDE 時間: 2025-3-26 02:17 作者: 逢迎春日 時間: 2025-3-26 06:03
nk with the target mRNA through the complementary base pairing mechanism. Given their role, it is important to identify their targets and, to this purpose, different tools were proposed to solve this problem. However, their results can be very different, so the community is now moving toward the dep作者: enumaerate 時間: 2025-3-26 09:27
Danai Koutra,Christos Faloutsosftware projects’ complexity, stems from the integration of multiple individual software components that were developed under different application requirements and various machine architectures, has become a challenge for effective software system understanding and continuous software development. T作者: 傻 時間: 2025-3-26 15:17
Danai Koutra,Christos Faloutsoscilitates more efficient and greener. Various temporal modelling provides a reliable yet straightforward paradigm for short term building energy prediction. However, newly constructed buildings and recently renovated buildings, or buildings that have energy monitoring systems newly installed, do not作者: miscreant 時間: 2025-3-26 17:46 作者: UTTER 時間: 2025-3-26 22:34 作者: FUME 時間: 2025-3-27 02:53
Danai Koutra,Christos Faloutsosde classification, as well as community detection tasks, are still open research problems in SNA. Hence, SNA has become an interesting and appealing domain in Artificial Intelligence (AI) research. Immanent facts about social network structures can be effectively harnessed for training AI models in 作者: Celiac-Plexus 時間: 2025-3-27 05:43
Danai Koutra,Christos Faloutsosed combining time-distributed observations with a dynamic model in an optimal way. The typical assimilation scheme is made up of two major steps: a . and a . of the prediction by including information provided by observed data. This is the so called .-. cycle. Classical methods for DA include Kalman作者: 彎彎曲曲 時間: 2025-3-27 10:17
Danai Koutra,Christos Faloutsoson various scales can help to improve quality of living, enhance urban management, and advance the development of smart cities. But it is widely known that the performance of algorithms for data mining and analysis heavily relies on the quality of input data. The main aim of this paper is helping LB作者: Callus 時間: 2025-3-27 17:22 作者: Fecundity 時間: 2025-3-27 19:45
Summarization of Static Graphsions or billions of nodes and edges, such as the Facebook social network, even loading them using an appropriate visualization software requires significant amount of time. If the memory requirements are met, visualizing the graph is possible, but the result is a “hairball” without obvious patterns:作者: 整潔漂亮 時間: 2025-3-27 23:43 作者: INCUR 時間: 2025-3-28 03:29 作者: 小淡水魚 時間: 2025-3-28 09:04
Graph Similarityhe main node and edge culprits for their difference? For example, how much has a network changed since yesterday? How different is the wiring of Bob’s brain (a left-handed male) and Alice’s brain (a right-handed female), and what are their main differences?作者: CHAFE 時間: 2025-3-28 12:21
