链接分析研究综述   总被引：1，自引：0，他引：1  

李江  殷之明  王燕 《大学图书馆学报》2008,26(2):51-58

在调研近十余年国内外链接分析研究的相关文献的基础上,归纳了链接分析研究的四大视角,即网络计量学视角、检索优化视角、Web结构挖掘视角和Web结构图建模的视角,并详细分析了各个研究视角的现状,然后在此基础上提出了链接分析发展中的问题及发展趋势。  相似文献   

从小学口语教学谈中小学英语教学的衔接     

张丽萍 《四川职业技术学院学报》2011,21(5):78-80

根据中小学英语教学实践,分析了中小学英语教学在口语这个环节上出现了脱节问题的原因,并给出了促进中小学英语教学顺利衔接的对策。  相似文献   

QUIC--一个智能超文本导航系统     

毕强  刘甲学 《情报科学》2002,20(12):1277-1281

本文主要介绍了一个智能导航系统－QUIC。通过使用智能代理和动态链库，QUIC能上浏览者快速地判断出浏览者所需的信息，并把所需的信息 显示出来。  相似文献   

Web页面链接动机分析及链接测度研究   总被引：15，自引：0，他引：15  

俞培果  邱均平 《情报科学》2003,21(3):320-323

本文分析了Web网页“链接”与文献“引用”的可比性，通过网页链接分类对链接原因和动机进行了分析，并对网页链接的测度意义和测度应用作了讨论。  相似文献   

Linux下动态库研究及应用     

熊海泉 《科技广场》2006,(4):76-77

本文讨论了Linux下动态库实现的基本原理,然后通过实例具体详细剖析了Linux下动态库实现的基本步骤及动态库的应用。  相似文献   

谈如何将学生的能力培养贯穿于日常教学——以会计专业为例     

李贻玲 《太原大学学报》2011,12(1):79-81,89

针对我国职业教育事业的现状,《国家中长期教育改革和发展规划纲要》十分注重提升职业教育基础能力,要求实现人才培养方式转变,着力提高学生的职业道德、职业技能和就业创业能力。顺应这一形势所需,积极探索在日常教学中如何加强对学生的能力培养,可进一步深化会计专业＂课岗融合＂的教学改革。  相似文献   

论网络影响因子的三大缺陷     

李江 《图书情报工作》2008,52(5):107-107

在国内外网络影响因子相关研究的基础上,分析了网络影响因子的三大缺陷：其一,网络影响因子的适用性差;其二,网络影响因子算法自身存在缺陷;其三,网络影响因子的假设前提难以成立。基于这三大缺陷,笔者认为Pagerank算法用于网络影响力评价更合理;在充分了解网站内部结构的基础上,可提出Pagerank的修正算法用于网站影响力评价。  相似文献   

Knowledge graph representation learning with simplifying hierarchical feature propagation     

《Information processing & management》2023,60(4):103348

Graph neural networks (GNN) have emerged as a new state-of-the-art for learning knowledge graph representations. Although they have shown impressive performance in recent studies, how to efficiently and effectively aggregate neighboring features is not well designed. To tackle this challenge, we propose the simplifying heterogeneous graph neural network (SHGNet), a generic framework that discards the two standard operations in GNN, including the transformation matrix and nonlinear activation. SHGNet, in particular, adopts only the essential component of neighborhood aggregation in GNN and incorporates relation features into feature propagation. Furthermore, to capture complex structures, SHGNet utilizes a hierarchical aggregation architecture, including node aggregation and relation weighting. Thus, the proposed model can treat each relation differently and selectively aggregate informative features. SHGNet has been evaluated for link prediction tasks on three real-world benchmark datasets. The experimental results show that SHGNet significantly promotes efficiency while maintaining superior performance, outperforming all the existing models in 3 out of 4 metrics on NELL-995 and in 4 out of 4 metrics on FB15k-237 dataset.  相似文献   

Knowledge graph embedding model with attention-based high-low level features interaction convolutional network     

《Information processing & management》2023,60(4):103350

Knowledge graphs are sizeable graph-structured knowledge with both abstract and concrete concepts in the form of entities and relations. Recently, convolutional neural networks have achieved outstanding results for more expressive representations of knowledge graphs. However, existing deep learning-based models exploit semantic information from single-level feature interaction, potentially limiting expressiveness. We propose a knowledge graph embedding model with an attention-based high-low level features interaction convolutional network called ConvHLE to alleviate this issue. This model effectively harvests richer semantic information and generates more expressive representations. Concretely, the multilayer convolutional neural network is utilized to fuse high-low level features. Then, features in fused feature maps interact with other informative neighbors through the criss-cross attention mechanism, which expands the receptive fields and boosts the quality of interactions. Finally, a plausibility score function is proposed for the evaluation of our model. The performance of ConvHLE is experimentally investigated on six benchmark datasets with individual characteristics. Extensive experimental results prove that ConvHLE learns more expressive and discriminative feature representations and has outperformed other state-of-the-art baselines over most metrics when addressing link prediction tasks. Comparing MRR and Hits@1 on FB15K-237, our model outperforms the baseline ConvE by 13.5% and 16.0%, respectively.  相似文献   

不同碳源对蛹虫草菌丝及子实体生长状况的影响   总被引：1，自引：0，他引：1  

方华舟  向会耀  王小艳 《荆门职业技术学院学报》2010,25(2):5-8

目的：首次系统研究蛹虫草液体菌种制备及发菌、出草等人工栽培全过程中所必需的适宜碳源。方法：以葡萄糖、果糖、蔗糖、麦芽糖、淀粉等常见碳源为实验组,比较观察菌种质量、菌丝生长状况、发菌及出草情况。结果：各种碳源对蛹虫草菌丝体生长均有促进作用;液体菌种培养基中添加适量葡萄糖为佳;栽培培养基中添加适量蔗糖或葡萄糖为佳。结论：液体菌种培养基及栽培培养基中添加适量小分子碳源具有促进菌丝生长、提高出草品质的作用。  相似文献