書(shū)目名稱Graph Data Mining網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱Graph Data Mining被引頻次
書(shū)目名稱Graph Data Mining被引頻次學(xué)科排名
書(shū)目名稱Graph Data Mining年度引用
書(shū)目名稱Graph Data Mining年度引用學(xué)科排名
書(shū)目名稱Graph Data Mining讀者反饋
書(shū)目名稱Graph Data Mining讀者反饋學(xué)科排名
作者: 背叛者 時(shí)間: 2025-3-21 21:25 作者: noxious 時(shí)間: 2025-3-22 04:12 作者: Buttress 時(shí)間: 2025-3-22 07:52 作者: TAP 時(shí)間: 2025-3-22 08:53 作者: Repatriate 時(shí)間: 2025-3-22 14:10 作者: Repatriate 時(shí)間: 2025-3-22 19:33 作者: 信條 時(shí)間: 2025-3-22 21:25 作者: 血統(tǒng) 時(shí)間: 2025-3-23 05:13 作者: CARE 時(shí)間: 2025-3-23 08:05
Find Your Meal Pal: A Case Study on Yelp Network,aging patterns on Yelp and recommend potential meal pals to users. The experiments show the effectiveness of the recommendation methods and reveal the possibility of applying link prediction approaches to Yelp data analysis.作者: BARK 時(shí)間: 2025-3-23 11:34 作者: squander 時(shí)間: 2025-3-23 15:07
Time Series Classification Based on Complex Network, through deep learning, we also introduce an automatic visibility graph (AVG) based on graph neural network (GNN), a framework which can transform time series into graphs and realize classification end-to-end. Finally, we carry out experiments on some common datasets to prove the effectiveness of our methods.作者: Odyssey 時(shí)間: 2025-3-23 19:31
Graph Data Mining978-981-16-2609-8Series ISSN 2522-0179 Series E-ISSN 2522-0187 作者: NUL 時(shí)間: 2025-3-24 01:17 作者: 范圍廣 時(shí)間: 2025-3-24 04:41
,Einflu? und Auswirkung von Me?fehlern,perform link prediction with pre-defined assumptions and only use superficial structural features. While it is widely acknowledged that a node could be characterized by a bunch of neighbor nodes, network embedding algorithms and newly emerged graph neural networks still exploit structural features o作者: molest 時(shí)間: 2025-3-24 06:45
Zweiphasenstrom-Leistungsmessungenrks, etc., where subgraphs or motifs can be considered as network building blocks with particular functions to capture mesoscopic structures. Most existing studies ignored the interaction between these subgraphs, which could be of particular importance to represent the global structure at the subgra作者: 重畫(huà)只能放棄 時(shí)間: 2025-3-24 14:30 作者: Limited 時(shí)間: 2025-3-24 17:41 作者: Intervention 時(shí)間: 2025-3-24 21:50 作者: 熱情的我 時(shí)間: 2025-3-25 02:27
Reproduzierbarkeit der Kammerstrommessungen,of Ethereum transaction records remains under-explored. In this chapter, we model Ethereum transaction records as a complex network and further study the problem of phishing detection and transaction tracking via node classification and link prediction, respectively, which provides a deeper understa作者: 類型 時(shí)間: 2025-3-25 06:20 作者: 尊敬 時(shí)間: 2025-3-25 08:25 作者: Crepitus 時(shí)間: 2025-3-25 13:27 作者: 壓碎 時(shí)間: 2025-3-25 18:18 作者: 小木槌 時(shí)間: 2025-3-25 21:49 作者: 大范圍流行 時(shí)間: 2025-3-26 03:45 作者: Chandelier 時(shí)間: 2025-3-26 05:08
Broad Learning Based on Subgraph Networks for Graph Classification,rks, etc., where subgraphs or motifs can be considered as network building blocks with particular functions to capture mesoscopic structures. Most existing studies ignored the interaction between these subgraphs, which could be of particular importance to represent the global structure at the subgra作者: Silent-Ischemia 時(shí)間: 2025-3-26 11:30
Subgraph Augmentation with Application to Graph Mining,in analysis etc. However, the limitation of the general scale of benchmark datasets makes easily causes graph classification models to fall into overfitting and undergeneralization. In this chapter, the . framework is introduced for graph classification (Zhou et al., Data augmentation for graph clas作者: 量被毀壞 時(shí)間: 2025-3-26 13:52 作者: Adrenaline 時(shí)間: 2025-3-26 18:22 作者: BANAL 時(shí)間: 2025-3-26 21:46
Understanding Ethereum Transactions via Network Approach,of Ethereum transaction records remains under-explored. In this chapter, we model Ethereum transaction records as a complex network and further study the problem of phishing detection and transaction tracking via node classification and link prediction, respectively, which provides a deeper understa作者: 弓箭 時(shí)間: 2025-3-27 04:30
Find Your Meal Pal: A Case Study on Yelp Network, photos. Along with the social relationships between users, Yelp enables a recommendation engine to make precise restaurants recommendations, which improves the user experience of the website and promote the revenues of restaurants. In this chapter, we focus on the Yelp friend network to make friend作者: GRIPE 時(shí)間: 2025-3-27 08:18 作者: 乳白光 時(shí)間: 2025-3-27 10:37
Time Series Classification Based on Complex Network,ication, human activity recognition and radio signal modulation identification. At present, some promising methods have been proposed to transform time series classification into graph classification by mapping time series to graphs. However, these transformation methods with fixed mapping rules may作者: Irritate 時(shí)間: 2025-3-27 15:51
Exploring the Controlled Experiment by Social Bots,ts, on the one hand, serve human beings, on the other hand, cause the pollution of the network environment. Therefore, more and more researches begin to focus on social bots. In this chapter, we first introduce the concept of social bots, including the definition, application and influence. Then we 作者: 本土 時(shí)間: 2025-3-27 21:33
Information Source Estimation with Multi-Channel Graph Neural Network,tures of two channels are aggregated together to estimate the probability of each node to be the source node. We evaluate our method on both synthetic and real-world networks. Extensive experiments demonstrate the effectiveness of our method on the task of identifying the information source.作者: ALTER 時(shí)間: 2025-3-28 00:27 作者: antidepressant 時(shí)間: 2025-3-28 03:15 作者: CEDE 時(shí)間: 2025-3-28 06:19 作者: 聚集 時(shí)間: 2025-3-28 13:40
Understanding Ethereum Transactions via Network Approach,ing models and compare our proposed method with these embedding technologies on realistic Ethereum transaction records. Experimental results demonstrate the superiority of our TBW in learning more informative representations, and is essential for Ethereum network analysis.作者: 孤獨(dú)無(wú)助 時(shí)間: 2025-3-28 16:02 作者: Horizon 時(shí)間: 2025-3-28 22:02 作者: inspired 時(shí)間: 2025-3-28 23:30
Schalter für Leistungsmessungendiction are unified to generate graph classification patterns, demonstrating some applications to multiple tasks in graph mining. One of the main contributions of this chapter is to apply the technique of subgraph augmentation for various tasks. The . is general and flexible, which can be easily com作者: 無(wú)能力 時(shí)間: 2025-3-29 04:40
Parallelschalten von Wechselstrom-Maschinenly summarize and classify the existing graph adversarial attack methods, e.g., heuristic, gradient and reinforcement learning, and then choose several classic adversarial attack methods on different graph tasks for detailed introduction. And finally, we also summarize the challenges in this area.作者: 懸掛 時(shí)間: 2025-3-29 11:02 作者: 減至最低 時(shí)間: 2025-3-29 12:32
https://doi.org/10.1007/978-1-4842-7371-5edizinische Basisbetreuung, regelm??ige k?rperliche Aktivit?t, Nikotinabstinenz und eine gesunde Ern?hrung. Eine ausgewogene und gezielte Ern?hrung kann sowohl zum Wohlbefinden der werdenden Mutter als auch zur Gesundheit des Kindes beitragen. Eine fundierte Information der Schwangeren ist daher ein wichtiger Teil der Schwangerenbetreuung.作者: 形容詞 時(shí)間: 2025-3-29 16:34 作者: invert 時(shí)間: 2025-3-29 21:20
