Jiang X,Sun X,Hai Z.Graph-based algorithms for ranking researchers:not all swans are white[J].Scientometrics, 2013(3):743-759.Jiang, X., Sun, X. and Zhuge, H. (2013), "Graph-based algorithms for ranking researchers: not all swans are white!", Scientometrics, Vol. 96 No. 5, pp....
This paper presents an innovative unsupervised method for automatic sentence extraction using graph-based ranking algorithms. We evaluate the method in the context of a text summarization task, and show that the results obtained compare favorably with previously published results on established benchmarks...
“Ultipa products’ capabilities have been fully verified in the capability tests of data loading, K-neighbor query, path query, graph algorithms, real-time updates, ease of use, secondary development and other indicators in a number of general-purpose and public databases’ performance benchmarking...
Apart from semantic matching of entities from DBpedia, you can also use Sematch to extract features of entities and apply semantic similarity analysis using graph-based ranking algorithms. Given a list of objects (concepts, words, entities), Sematch compute their pairwise semantic similarity and gen...
Hand D, Christen P (2018) A note on using the f-measure for evaluating record linkage algorithms. Stat Comput 28:539–547 Article MathSciNet Google Scholar Li Y, Chen H, Xu S, Ge Y, Zhang Y (2021) Towards personalized fairness based on causal notion. In: Proceedings of the 44th ...
Oracle Graph includes more than 80 graph algorithms enabling you to perform ranking, community detection, pathfinding, link prediction, machine learning (ML), and more. You can also use the output as input to a machine learning process so your ML models can use the indirect relationships to imp...
学术范收录的Journal Ranking a Set of Objects: A Graph Based Least-Square Approach,目前已有全文资源,进入学术范阅读全文,查看参考文献与引证文献,参与文献内容讨论。学术范是一个在线学术交流社区,收录论文、作者、研究机构等信息,是一个与小木虫、知乎类似的学
“Dual graph convolutional networks for graph- based semi-supervised classification,” in Proceedings of the Web Con- ference, 2018, pp. 499–508. [138] H. Dai, Z. Kozareva, B. Dai, A. Smola, and L. Song, “Learning steady- states of iterative algorithms over graphs,” in ...
Existing approaches include algorithms that use different techniques, such as, Word2Vec embeddings for finding semantically relevant words to a query [9–11]; techniques that find and rank expansion terms from pseudo relevant articles [12]; and methods that use external knowledge resources such as ...
Graph-based algorithms are known to be effective approaches to semi-supervised learning. However, there has been relatively little work on extending these