標(biāo)題: Titlebook: Complex Networks & Their Applications IX; Volume 2, Proceeding Rosa M. Benito,Chantal Cherifi,Marta Sales-Pardo Conference proceedings 2021 [打印本頁] 作者: 街道 時間: 2025-3-21 16:41
書目名稱Complex Networks & Their Applications IX影響因子(影響力)
書目名稱Complex Networks & Their Applications IX影響因子(影響力)學(xué)科排名
書目名稱Complex Networks & Their Applications IX網(wǎng)絡(luò)公開度
書目名稱Complex Networks & Their Applications IX網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Complex Networks & Their Applications IX被引頻次
書目名稱Complex Networks & Their Applications IX被引頻次學(xué)科排名
書目名稱Complex Networks & Their Applications IX年度引用
書目名稱Complex Networks & Their Applications IX年度引用學(xué)科排名
書目名稱Complex Networks & Their Applications IX讀者反饋
書目名稱Complex Networks & Their Applications IX讀者反饋學(xué)科排名
作者: Dna262 時間: 2025-3-22 00:07
On the Impact of Communities on Semi-supervised Classification Using Graph Neural Networkshe learning process of GNNs. In this work, we systematically study the impact of community structure on the performance of GNNs in semi-supervised node classification on graphs. Following an ablation study on six datasets, we measure the performance of GNNs on the original graphs, and the change in 作者: entail 時間: 2025-3-22 02:27 作者: 就職 時間: 2025-3-22 07:06
Consensus Embeddings for Networks with Multiple Versionsding algorithms map the nodes into a low-dimensional space such that the nodes that are “similar” with respect to network topology are also close to each other in the embedding space. Many real-world networks that are used in machine learning have multiple versions that come from different sources, 作者: Brittle 時間: 2025-3-22 11:15
Graph Convolutional Network with Time-Based Mini-Batch for Information Diffusion Predictionl graph or cascade data for prediction. In contrast, a recently proposed deep leaning model DyHGCN [.] newly considers users’ dynamic preference by using dynamic graphs and achieve better performance. However, training phase of DyHGCN is computationally expensive due to the multiple graph convolutio作者: enormous 時間: 2025-3-22 13:31
A Sentiment Enhanced Deep Collaborative Filtering Recommender Systemking on their daily needs. Numerous works exploiting user’s sentiments on products to enhance recommendations have been introduced. However, there has been relatively less work exploring higher-order user-item features interactions for sentiment enhanced recommender system. In this paper, a novel Se作者: enormous 時間: 2025-3-22 18:57 作者: 男學(xué)院 時間: 2025-3-22 22:50
Enriching Graph Representations of Text: Application to Medical Text Classifications knowledge graphs, large knowledge bases that contain rich information about the world. This paper capitalises on the graph of words model and enriches it with concepts from knowledge graphs, resulting in more powerful hybrid representations of a corpus. We focus on the domain of medical text class作者: 做事過頭 時間: 2025-3-23 02:29 作者: 脊椎動物 時間: 2025-3-23 09:12 作者: Virtues 時間: 2025-3-23 11:21
Incorporating Domain Knowledge into Health Recommender Systems Using Hyperbolic Embeddingsas it helps to provide meaningful and personalised recommendations catering to the individual’s health needs. With recent advances in representation learning enabling the hierarchical embedding of health knowledge into the hyperbolic Poincaré space, this work proposes a content-based recommender sys作者: 解凍 時間: 2025-3-23 17:53
Image Classification Using Graph-Based Representations and Graph Neural Networksthe-art deep learning method for image classification since these models are naturally suited to problems where the coordinates of the underlying data representation have a grid structure. On the other hand, in recent years, there is a growing interest in mapping data from different domains to graph作者: Anecdote 時間: 2025-3-23 20:53
Graph-Based Topic Extraction from Vector Embeddings of Text Documents: Application to a Corpus of Nelop efficient methods that can provide insights into emerging content areas, and stratify unstructured corpora of text into ‘topics’ that stem intrinsically from content similarity. Here we present an unsupervised framework that brings together powerful vector embeddings from natural language proces作者: Expertise 時間: 2025-3-23 23:35 作者: Antimicrobial 時間: 2025-3-24 03:59 作者: 偏狂癥 時間: 2025-3-24 08:50
Connecting the Dots: Integrating Point Location Data into Spatial Network Analysesen not natively tied to our networks. Instead, they can occur as point data (such as store, train station, and domicile locations) and/or grid data (such as socio-economic and aggregate area data). Here we present a set of methods to integrate point data into an augmented transportation network. Thi作者: 聽覺 時間: 2025-3-24 14:28 作者: 驕傲 時間: 2025-3-24 16:25 作者: 不規(guī)則的跳動 時間: 2025-3-24 21:06 作者: frozen-shoulder 時間: 2025-3-25 01:08 作者: Pde5-Inhibitors 時間: 2025-3-25 04:55
A Sentiment Enhanced Deep Collaborative Filtering Recommender System Additionally, the CNN learns the specific review of users and his sentiments aspects. Hence, it models accurately the item latent factors and creates a profile model for each user. The proposed framework allows users to find suitable items through the comprehensive aggregation of user’s preferences作者: 伙伴 時間: 2025-3-25 09:17 作者: 使人入神 時間: 2025-3-25 12:43 作者: OATH 時間: 2025-3-25 18:18 作者: CLEAR 時間: 2025-3-25 23:31 作者: STALL 時間: 2025-3-26 03:28
Stability of Elastic Structures structure. Using synthetic data, we first confirm the effectiveness of the inference method and the validity of the approximation formula. Using real data of Location-Based Social Networks (LBSNs), we demonstrate the significance of the RH model in terms of predicting the future events, and uncover作者: 色情 時間: 2025-3-26 05:39
Stability of Elastic Structuress of a network. For the computation of consensus embeddings, we use linear (singular value decomposition) and non-linear (variational auto-encoder) dimensionality reduction methods. Our results on a large selection of protein-protein interaction (PPI) networks (eight versions with 255 potential comb作者: Osteoporosis 時間: 2025-3-26 09:35 作者: AFFIX 時間: 2025-3-26 16:35
https://doi.org/10.1007/978-1-4614-8477-6ine-learning model on the snapshots and apply this model to the real-word network to find the best BI parameters. We apply these parameters to the sampled real-world network to measure the quality of the sets of initiators found this way. We use various real-world networks to validate our approach a作者: needle 時間: 2025-3-26 17:34
Stability of Linear Periodic Equationsion of the layers of the reference networks. To the best of our knowledge, this is the first study that provides a systematic comparison of generative models for airline transportation multilayer networks.作者: 無效 時間: 2025-3-26 22:26 作者: 走調(diào) 時間: 2025-3-27 02:22
978-3-030-65353-8The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: 無彈性 時間: 2025-3-27 07:41 作者: inhumane 時間: 2025-3-27 13:04 作者: AVANT 時間: 2025-3-27 13:44 作者: 盟軍 時間: 2025-3-27 18:22
Stability of Elastic Structures in a city. Since mutually-exciting Hawkes processes can naturally model temporal event data and capture interactions between those events, previous work presented a probabilistic model based on Hawkes processes, called CHP model, for finding cooperative structure among online items from their share作者: LIMIT 時間: 2025-3-28 00:00 作者: 罵人有污點 時間: 2025-3-28 03:05 作者: 行業(yè) 時間: 2025-3-28 06:25 作者: 歡騰 時間: 2025-3-28 11:36
Global Stability and Uniqueness,n a supervised machine learning model, disjoint and independent train and test sets are needed. However, objects in a real-world network are inherently related to each other. Therefore, it is far from trivial to separate candidate links into these disjoint sets..Here we characterize and empirically 作者: Heart-Rate 時間: 2025-3-28 17:13 作者: Functional 時間: 2025-3-28 20:57
https://doi.org/10.1007/978-3-642-80994-1sifier, able to efficiently identify bots in Twitter. We also propose a validation methodology that verifies the ability of the classifier in identifying bots that are actually suspended by Twitter. We apply our methodology to the context of two real-world discussion, regarding STF (the Supreme Cour作者: cochlea 時間: 2025-3-29 01:07 作者: JUST 時間: 2025-3-29 04:05
Yeol Je Cho,Choonkil Park,Reza Saadatias it helps to provide meaningful and personalised recommendations catering to the individual’s health needs. With recent advances in representation learning enabling the hierarchical embedding of health knowledge into the hyperbolic Poincaré space, this work proposes a content-based recommender sys作者: enfeeble 時間: 2025-3-29 08:15
https://doi.org/10.1007/978-3-319-18708-2the-art deep learning method for image classification since these models are naturally suited to problems where the coordinates of the underlying data representation have a grid structure. On the other hand, in recent years, there is a growing interest in mapping data from different domains to graph作者: 情感脆弱 時間: 2025-3-29 12:20
Springer Optimization and Its Applicationslop efficient methods that can provide insights into emerging content areas, and stratify unstructured corpora of text into ‘topics’ that stem intrinsically from content similarity. Here we present an unsupervised framework that brings together powerful vector embeddings from natural language proces作者: 規(guī)范要多 時間: 2025-3-29 17:54
https://doi.org/10.1007/978-1-4614-8477-6aches the targeted network coverage, where threshold rules determine the outcome of influence. This problem is NP-hard and it has generated a significant amount of recent research on finding efficient heuristics. We focus on a . algorithm that relies on three parameters to tune its performance to th作者: 態(tài)度暖昧 時間: 2025-3-29 22:50 作者: Monolithic 時間: 2025-3-30 01:46 作者: eucalyptus 時間: 2025-3-30 08:04
Stability of Linear Periodic Equations for mimicking real-world airline transportation systems, synthetic models for airline network generation can be helpful in a variety of tasks, such as simulation and optimization of the growth of the network system, analysis of its vulnerability or strategic placement of airports. In this paper, we作者: Blood-Vessels 時間: 2025-3-30 08:47
Rosa M. Benito,Chantal Cherifi,Marta Sales-PardoPresents the latest research on complex networks and their applications.Gathers the edited proceedings of the Ninth International Conference on Complex Networks and their Applications (COMPLEX NETWORK作者: 束以馬具 時間: 2025-3-30 15:18 作者: 走調(diào) 時間: 2025-3-30 18:56
1860-949X on Complex Networks and their Applications (COMPLEX NETWORK.This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer作者: 適宜 時間: 2025-3-30 21:33 作者: insular 時間: 2025-3-31 03:50 作者: 自戀 時間: 2025-3-31 05:48
Conference proceedings 2021ate on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the IX International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2020). The carefully selected papers cover a wide range of theoretical topics such as networ作者: VEIL 時間: 2025-3-31 11:28
Global Stability and Uniqueness,nowledge injection techniques. The method we present produces text representations that are both explainable and effective in improving the accuracy on the OHSUMED classification task, surpassing neural network architectures such as GraphStar and Text GCN.作者: omnibus 時間: 2025-3-31 16:32 作者: 不如樂死去 時間: 2025-3-31 19:12
