[1] |
杨泉 . 基于遗传算法的词语语义相似度计算研究[J]. 计算机技术与发展, 2021,31(2): 8-13.
|
|
YANG Q . Research on word semantic similarity calculation based on genetic algorithm[J]. Computer Technology and Development, 2021,31(2): 8-13.
|
[2] |
丁悦航, 于洪涛, 黄瑞阳, 李英乐 . 本体摘要技术综述[J]. 网络与信息安全学报, 2018,4(10): 12-21.
|
|
DING Y H. , YU H T , HUANG R Y . Ontology summarization technology survey[J]. Chinese Journal of Network and Information Security, 2018,4(10): 12-21.
|
[3] |
DAO W . Distance learning techniques for ontology similarity measuring and ontology mapping[J]. Cluster Computing, 2017,20(2): 959-968.
|
[4] |
周爱武, 翟增辉, 刘慧婷 . 基于模拟退火算法改进的 BP 神经网络算法[J]. 微电子学与计算机, 2016,33(4): 144-147.
|
|
ZHOU A W , ZHAI Z H , LIU H T ,et al. Improved BP neural network based on simulated annealing[J]. Mi-croelectronics and Computer, 2016,33(4): 144-147.
|
[5] |
RADA R , MILI H , BICKNELL E . Development and application of a metric on semantic nets[J]. IEEE,Transactions on Systems,Man and Cybernetics, 1989,19( 1): 17-30.
|
[6] |
孙丽莉, 张小刚 . 基于 WordNet 的概念语义相似度的计算方法[J]. 统计与决策, 2017(23): 79-82.
|
|
SUN L L , ZHANG X G . A novel concept semantic similarity calculation method based on WordNet[J]. Statistics & Decision, 2017(23): 79-82.
|
[7] |
TVERSKY A . Feature of similarity[J]. Psychological Review, 1997,84(4): 222-226.
|
[8] |
郑志蕴, 阮春阳, 李伦 ,等. 本体语义相似度自适应综合加权算法研究[J]. 计算机科学, 2016,43(10): 242-247.
|
|
ZHENG Z Y , RUAN C Y , LI L ,et al. Adaptive ontology semantic similarity comprehensive weighted algorithm[J]. Computer Science, 2016,43(10): 242-247.
|
[9] |
卢家伟, 薛醒思, 肖祖宇 ,等. 一种基于混合语义相似度度量方法的本体元匹配技术[J]. 宝鸡文理学院学报(自然科学版), 2020,40(2): 59-63.
|
|
LU J W , XUE X S , XIAO Z G ,et al. An ontology meta-matching technique based on the hybrid semantic similarity measure[J]. Journal of Baoji University of Arts and Sciences(Natural Science Edition), 2020,40(2): 242-247.
|
[10] |
郭小华, 彭琦, 邓涵 ,等. 基于边权重的WordNet词语相似度计算[J]. 计算机工程与应用, 2018,54(1): 172-178.
|
|
GUO X H , PENG Q , DENG H ,et al. Edge weight-based word similarity computation in WordNet[J]. Computer Engineering and Applications, 2018,54(1): 172-178.
|
[11] |
LI Y , GAO D Q . Research on entity similarity computationin knowledge map[J]. Chinese Journal of Information Science, 2017,31(1): 145-151.
|
[12] |
许飞翔, 叶霞, 李琳琳 ,等. 基于SA-BP算法的本体概念语义相似度综合计算[J]. 计算机科学, 2020,47(1): 199-204.
|
|
XU F X , YE X , LI L L ,et al. Comprehensive calculation of semantic similarity of ontology concept based on SA-BP[J]. Computer Science, 2020,47(1): 199-204.
|
[13] |
曲强, 于洪涛, 黄瑞阳 . 基于图卷积网络的社交网络 Spammer检测技术[J]. 网络与信息安全学报, 2018,4(5): 39-46.
|
|
QU Q YU H T , HUANG R Y . Spammer detection technology of social network based on graph convolution network[J]. Chinese Journal of Network and Information Security, 2018,4(5): 39-46.
|
[14] |
PENG H , LI J . Large-scale hierarchical text classification with recursively regularized deep graph[J]. International World Wide Web Conference, 2018: 1063-1072.
|
[15] |
ROUSSEAU F , KIAGIAS E . Text categorization as a graph classification problem[J]. ACL, 2015,1: 1702-1712.
|
[16] |
KIPF T N . Semi-supervised classification with graph convolutional networks[J]. ICLR, 2017.
|
[17] |
姚佳奇, 徐正国, 燕继坤 ,等. GCN-PU:基于图卷积网络的PU文本分类算法[J]. 计算机工程与应用, 2020: 1-8.
|
|
YAO J Q.XU Z G , YE J K ,et al. GCN-PU text classification algorithm based on graph convolutional network[J]. Computer Engineering and Applications. 2020: 1-8.
|
[18] |
李慧, 胡吉霞 . 一种基于图卷积自编码模型的多维度学科知识网络融合方法[J]. 图书情报工作, 2020,64(18): 114-125.
|
|
LI H , HU J X . Multi-dimensional subject knowledge network fusion method based on graph convolution self-encoding model[J]. Library and Information Service, 2020,64(18): 114-125.
|