街道
发表于 2025-3-21 16:41:49
书目名称Complex Networks & Their Applications IX影响因子(影响力)<br> http://impactfactor.cn/2024/if/?ISSN=BK0231482<br><br> <br><br>书目名称Complex Networks & Their Applications IX影响因子(影响力)学科排名<br> http://impactfactor.cn/2024/ifr/?ISSN=BK0231482<br><br> <br><br>书目名称Complex Networks & Their Applications IX网络公开度<br> http://impactfactor.cn/2024/at/?ISSN=BK0231482<br><br> <br><br>书目名称Complex Networks & Their Applications IX网络公开度学科排名<br> http://impactfactor.cn/2024/atr/?ISSN=BK0231482<br><br> <br><br>书目名称Complex Networks & Their Applications IX被引频次<br> http://impactfactor.cn/2024/tc/?ISSN=BK0231482<br><br> <br><br>书目名称Complex Networks & Their Applications IX被引频次学科排名<br> http://impactfactor.cn/2024/tcr/?ISSN=BK0231482<br><br> <br><br>书目名称Complex Networks & Their Applications IX年度引用<br> http://impactfactor.cn/2024/ii/?ISSN=BK0231482<br><br> <br><br>书目名称Complex Networks & Their Applications IX年度引用学科排名<br> http://impactfactor.cn/2024/iir/?ISSN=BK0231482<br><br> <br><br>书目名称Complex Networks & Their Applications IX读者反馈<br> http://impactfactor.cn/2024/5y/?ISSN=BK0231482<br><br> <br><br>书目名称Complex Networks & Their Applications IX读者反馈学科排名<br> http://impactfactor.cn/2024/5yr/?ISSN=BK0231482<br><br> <br><br>
Dna262
发表于 2025-3-22 00:07:47
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
entail
发表于 2025-3-22 02:27:29
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就职
发表于 2025-3-22 07:06:56
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,
Brittle
发表于 2025-3-22 11:15:02
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
enormous
发表于 2025-3-22 13:31:00
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
enormous
发表于 2025-3-22 18:57:03
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男学院
发表于 2025-3-22 22:50:14
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
做事过头
发表于 2025-3-23 02:29:52
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脊椎动物
发表于 2025-3-23 09:12:16
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