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EMBEDDING: 作品数：646被引量：939H指数：11; 导出分析报告; 相关领域：自动化与计算机技术更多>>; 相关作者：禹龙田生伟赵建国孟欣裴楠更多>>; 相关机构：新疆大学华东师范大学微梦创科网络科技(中国)有限公司吉林大学更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金中国博士后科学基金国家重点基础研究发展计划广东省自然科学基金更多>>

Intent-Aware Graph-Level Embedding Learning Based Recommendation: 《Journal of Computer Science & Technology》2024年第5期1138-1152,共15页Peng-Yi Hao Si-Hao Liu Cong Bai; supported by the Zhejiang Provincial Natural Science Foundation of China under Grant No.LR21F020002;the National Natural Science Foundation of China under Grant No.61976192.; Recommendation has been widely used in business scenarios to provide users with personalized and accurate item lists by efficiently analyzing complex user-item interactions.However,existing recommendation methods have...; 关键词：recommendation system graph embedding learning graph neural network intent-aware

ScenePalette:Contextually Exploring Object Collections Through Multiplex Relations in 3D Scenes: 《Journal of Computer Science & Technology》2024年第5期1180-1192,共13页Shao-Kui Zhang Wei-Yu Xie Chen Wang Song-Hai Zhang; supported by the National Natural Science Foundation of China under Grant No.61832016;the Key Research Projects of the Foundation Strengthening Program of China under Grant No.2020JCJQZD01412;Tsinghua-Tencent Joint Laboratory for Internet Innovation Technology.; This paper presents ScenePalette,a modeling tool that allows users to“draw”3D scenes interactively by placing objects on a canvas based on their contextual relationship.ScenePalette is inspired by an important intui...; 关键词：computer graphics 3D scene context 3D repository exploration multiplex network embedding

Multi-Task Visual Semantic Embedding Network for Image-Text Retrieval: 《Journal of Computer Science & Technology》2024年第4期811-826,共16页Xue-Yang Qin Li-Shuang Li Jing-Yao Tang Fei Hao Mei-Ling Ge Guang-Yao Pang; supported by the National Natural Science Foundation of China under Grant No.62076048.; Image-text retrieval aims to capture the semantic correspondence between images and texts,which serves as a foundation and crucial component in multi-modal recommendations,search systems,and online shopping.Existing m...; 关键词：image-text retrieval cross-modal retrieval multi-task learning graph convolutional network

Identity-Preserving Adversarial Training for Robust Network Embedding: 《Journal of Computer Science & Technology》2024年第1期177-191,共15页岑科廷沈华伟曹婍徐冰冰程学旗; This work was supported by the National Natural Science Foundation of China under Grant Nos.U21B2046 and 62102402;the National Key Research and Development Program of China under Grant No.2020AAA0105200.; Network embedding,as an approach to learning low-dimensional representations of nodes,has been proved extremely useful in many applications,e.g.,node classification and link prediction.Unfortunately,existing network e...; 关键词：network embedding identity-preserving adversarial training adversarial the example

Label-Aware Chinese Event Detection with Heterogeneous Graph Attention Network: 《Journal of Computer Science & Technology》2024年第1期227-242,共16页崔诗尧郁博文从鑫柳厅文谭庆丰时金桥; This work was supported by the National Key Research and Development Program of China under Grant No.2021YFB3100600;the Youth Innovation Promotion Association of Chinese Academy of Sciences under Grant No.2021153;the State Key Program of National Natural Science Foundation of China under Grant No.U2336202.; Event detection(ED)seeks to recognize event triggers and classify them into the predefined event types.Chinese ED is formulated as a character-level task owing to the uncertain word boundaries.Prior methods try to inc...; 关键词：Chinese event detection heterogeneous graph attention network(HGAT) label embedding

Context-Aware Semantic Type Identification for Relational Attributes: 《Journal of Computer Science & Technology》2023年第4期927-946,共20页丁玥郭雨荷卢卫李海翔张美慧李晖潘安群杜小勇; supported by the National Key Research and Development Program of China under Grant No.2020YFB2104100;the National Natural Science Foundation of China under Grant Nos.61972403 and U1711261;the Fundamental Research Funds for the Central Universities of China,the Research Funds of Renmin University of China,and Tencent Rhino-Bird Joint Research Program.; Identifying semantic types for attributes in relations,known as attribute semantic type(AST)identification,plays an important role in many data analysis tasks,such as data cleaning,schema matching,and keyword search i...; 关键词：attribute semantic type(AST)identification CONTEXT-AWARE semantic embedding knowledge base embedding

Improving Entity Linking in Chinese Domain by Sense Embedding Based on Graph Clustering被引量：1: 《Journal of Computer Science & Technology》2023年第1期196-210,共15页张照博钟芷漫袁平鹏金海; supported by the National Natural Science Foundation of China under Grant Nos.61932004 and 62072205.; Entity linking refers to linking a string in a text to corresponding entities in a knowledge base through candidate entity generation and candidate entity ranking.It is of great significance to some NLP(natural langua...; 关键词：natural language processing(NLP) domain entity linking computational linguistics word sense disambiguation knowledge graph

Pre-Train and Learn: Preserving Global Information for Graph Neural Networks: 《Journal of Computer Science & Technology》2021年第6期1420-1430,共11页Dan-Hao Zhu Xin-Yu Dai Jia-Jun Chen; partially supported by the Natural Science Foundation of the Jiangsu Higher Education Institutions of China under Grant No.18kJB510010;the Social Science Foundation of Jiangsu Province of China under Grant No.19TQD002;the National Nature Science Foundation of China under Grant No.61976114.; Graph neural networks(GNNs)have shown great power in learning on graphs.However,it is still a challenge for GNNs to model information faraway from the source node.The ability to preserve global information can enhance...; 关键词：graph neural network network embedding representation learning global information pre-train

DEM:Deep Entity Matching Across Heterogeneous Information Networks: 《Journal of Computer Science & Technology》2020年第4期739-750,共12页Chao Kong Bao-Xiang Chen Li-Ping Zhang; supported by the National Natural Science Foundation of China Youth Fund under Grant No.61902001.; Heterogeneous information networks,which consist of multi-typed vertices representing objects and multi-typed edges representing relations between objects,are ubiquitous in the real world.In this paper,we study the pr...; 关键词：heterogeneous information NETWORK ENTITY matching NETWORK EMBEDDING MULTI-LAYER PERCEPTRON

Finding Communities by Decomposing and Embedding Heterogeneous Information Network: 《Journal of Computer Science & Technology》2020年第2期320-337,共18页Yue Kou De-Rong Shen Dong Li Tie-Zheng Nie Ge Yu; The work was supported by the National Key Research and Development Program of China under Grant No.2018YFB1003404;the National Natural Science Foundation of China under Grant Nos.61672142,U1435216 and 61602103.; Community discovery is an important task in social network analysis.However,most existing methods for community discovery rely on the topological structure alone.These methods ignore the rich information available in ...; 关键词：COMMUNITY DISCOVERY HETEROGENEOUS information network decomposition EMBEDDING INCREMENTAL maintenance

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